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Books
  1. Alexander S Poznyak, Edgar N Sanchez & Wen Yu , Differential Neural Networks for Robust Nonlinear Control, World Scientific Publishing Co., 2001, Amazon
  2. Wen Yu & Suresh Thenozhi, Active Structural Control with Stable Fuzzy PID Techniques, Springer, 2016, Amazon
  3. Wen Yu, PID Control with Intelligent Compensation for Exoskeleton Robots, Academic Press, 2018, Amazon, Chinese Version
  4. Wen Yu & Raheleh Jafari, Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number, Wiley, 2019, Amazon
  5. Wen Yu & Satyam Paul, Active Control of Bidirectional Structural Vibration, Springer, 2020, Amazon
  6. Jian Tang & Wen Yu, Industrial Process Modelling with Mechanical Frequency Spectrum Data, Cambridge Scholars Publishing, 2021, Amazon
  7. Yinliang Xu, Wei Zhang, Wenxin Liu, Wen Yu, Distributed Energy Management of Electrical Power Systems, Wiley, 2021, Amazon
  8. Wen Yu & Adolfo Perrusquía, Human-Robot Interaction Control Using Reinforcement Learning, Wiley, 2021, Amazon, Chinese Version
International Journals
  1. Wen Yu, T.Y. Chai, Robustness and Transient Performance of Adaptive Decoupler for a Class of Multivariable Systems, International Journal of Systems Science, Vol.26, No.11, 2177-2186, 1995.
  2. Wen Yu, T.Y Chai, Yi Yuan, Decreased Vibration Control for Centrifuges: A New Adaptive Hybrid Control Technique, Control Engineering Practice, Vol.4, No.12, 1693-1700, 1996.
  3. Wen Yu, M.De la Sen, A New Adaptive Control Scheme with Arbitrary Nonlinear Inputs, International Journal of Systems Science, Vol. 29 No 2, 407-417, 1998.
  4. Alexander S.Poznyak, Wen Yu , Edgar N. Sanchez, Jose P. Perez, Stability Analysis of Dynamic Neural Control, Expert System with Applications, Vol.14, No.1, 227-236, 1998.
  5. Alexander S.Poznyak, Wen Yu, Hebertt Sira Ramirez and Edgar N. Sanchez, Robust Identification by Dynamic Neural Networks Using Sliding Mode Learning, International Journal of Applied Mathematics and Computer Sciences, Vol.8, No.1, 101-110, 1998.
  6. Wen Yu and Alexander S.Poznyak, Indirect Adaptive Control via Parallel Dynamic Neural Networks, IEE Proceedings - Control Theory and Applications, Vol.146, No.1, 25-30, 1999.
  7. Wen Yu, Passive Equivalence of Chaos in Lorenz System, IEEE Transactions on Circuits and Systems, Part I, Vol.46, No.7, 876-879, 1999.
  8. Alexander S.Poznyak, Wen Yu, Edgar N. Sanchez, Identification and Control of Unknown Chaotic Systems via Dynamic Neural Networks,IEEE Transactions on Circuits and Systems, Part I, Vol.46, No.12, 1491-1495, 1999.
  9. Alexander S.Poznyak, Wen Yu, Edgar N. Sanchez, Jose P. Perez, Nonlinear Adaptive Trajectory Tracking Using Dynamic Neural Networks,IEEE Transactions on Neural Networks, Vol.10, No.6, 1402-1411,1999.
  10. Wen Yu, Marco A. Moreno, Xiaoou Li, Observer Based Neuro Identifier, IEE Proceedings - Control Theory and Applications, Vol.147, No.2, 145-152, 2000.
  11. Juan Reyes-Reyes, Wen Yu, Alexander S.Poznyak, Passivation and Control of Partially Known SISO Nonlinear Systems via Dynamic Neural Networks, Mathematical Problems in Engineering,, Vol.6, No.1, 61-83, 2000.
  12. Alexander S.Poznyak, Wen Yu, Robust Asymptotic Neuro Observer with Time Delay, International Journal of Robust and Nonlinear Control, Vol.10, No.7, 535-560, 2000.
  13. Xiaoou Li, Wen Yu, Felipe Lara-Rosano, Dynamic Knowledge Inference and Learning Under Adaptive Fuzzy Petri Net Framework, IEEE Transactions on Systems, Man and Cybernetics, Part C, vol.30, no.4, 442-450, 2000.
  14. Wen Yu, Xiaoou Li, Some Stability Properties of Dynamic Neural Networks, IEEE Transactions on Circuits and Systems, Part I, Vol.48, No.2, 256-259, 2001.
  15. Wen Yu, Xiaoou Li, Some New Results on System Identification with Dynamic Neural Networks, IEEE Transactions on Neural Networks, Vol.12, No.2, 412-417, 2001. (Simulink program)
  16. Wen Yu, Alexander S. Poznyak, Xiaoou Li, Multilayer dynamic neural Networks for non-linear system on-line identification, International Journal of Control, Vol.74, No.18, 1858-1864,2001.
  17. Xianping Guo, Wen Yu, Xiaoou Li, Minimax control for discrete-time time-varying stochastic systems, Automatica, Vol.38, No.11, 1991-1998, 2002.
  18. Xiaoou Li. Wen Yu, Dynamic system identification via recurrent multilayer perceptrons, Information Sciences, Vol.146, No.5, 45-63, 2002.
  19. Wen Yu, Passivity analysis for dynamic multilayer neuro identifier, IEEE Transactions on Circuits and Systems, Part I, Vol.50, No.1, 173-178, 2003.
  20. Wen Yu, Xiaoou Li, Discrete-time neuro identification without robust modification, IEE Proceedings - Control Theory and Applications, Vol.150, No.3, 311-316, 2003.
  21. Wen Yu, Nonlinear system identification using discrete-time recurrent neural networks with stable learning algorithms, Information Sciences, Vol.158, No.1, 131-147, 2004.
  22. Wen Yu, Xiaoou Li, Fuzzy identification using fuzzy neural networks with stable learning algorithms, IEEE Transactions on Fuzzy Systems, Vol.12, No.3, 411-420, 2004.
  23. Wen Yu, High gain observer for chaotic synchronization and secure communication, International Journal of Communication Systems, Vol.18, No.5, 487-500, 2005
  24. Wen Yu, América Morales, Neural networks for the optimization of crude oil blending, International Journal of Neural Systems, Vol.15, No.5, 377-390, 2005
  25. Wen Yu, Marco A. Moreno, Robust visual servoing of robot manipulators with neuro compensation, Journal of the Franklin Institute, Vol.342, No.7, 824-838, 2005
  26. Wen Yu, State-space recurrent fuzzy neural networks for nonlinear system identification, Neural Processing Letters, Vol.22, No.3, 391-404, 2005
  27. José de Jesús Rubio and Wen Yu, A new discrete-time sliding-mode control with time-varying gain and neural identification, International Journal of Control, Vol. 79, No. 4, 338-348, 2006
  28. Wen Yu, Stability analysis of visual servoing with sliding-mode estimation and neural compensation, International Journal of Control, Automation, and Systems, Vol.4, No.5, 1-14, 2006
  29. Wen Yu, Multiple recurrent neural networks for stable adaptive control, Neurocomputing, vol 70, Issues 1-3 , pages 430-444, 2006
  30. Wen Yu, Xiaoou Li, PD control of robot with velocity estimation and uncertainties compensation, International Journal of Robotics & Automation, Vol.21, No.1, 1-9, 2006
  31. Wen Yu, Alejandro Cruz, Some new stability properties of dynamic neural networks with different time-scales, International Journal of Neural Systems, Vol.16, No.3, 191-200, 2006
  32. José de Jesús Rubio and Wen Yu, Stability analysis of nonlinear system identification via delayed neural networks, IEEE Transactions on Circuits and Systems: Part II, Vol.54, No.2, 161-165, 2007.
  33. Wen Yu, Xiaoou Li, Passivity analysis of dynamic neural networks with different time-scales, Neural Processing Letters, Vol.25, No.2, 143-155, 2007.
  34. Wen Yu, Marco A. Moreno, Floriberto Ortiz, System identification using hierarchical fuzzy neural networks with stable learning algorithm, Journal of Intelligent & Fuzzy Systems, Vol.18, No.2, 171-183, 2007
  35. José de Jesús Rubio and Wen Yu, Nonlinear system identification with recurrent neural networks and dead-zone Kalman filter algorithm, Neurocomputing, Vol. 70, No. 13, 2460-2466, 2007
  36. Zhanshan Wang, Huaguang Zhang, and Wen Yu, Robust Exponential Stability Analysis of Neural Networks with Multiple Time Delays, Neurocomputing, Vol. 70, No.13, 2534-2543, 2007
  37. Rafael Martínez, Wen Yu, Enrique Cisneros-Saldaña, A New Model-Free Sliding Observer to Synchronization Problem, Chaos, Solitons and Fractals, Vol.36, 1141-1156, 2008
  38. Rafael Martínez, Wen Yu, Chaotic synchronization and secure communication via sliding-mode observer, International Journal of Bifurcation and Chasos, Vol. 18, No. 1, 235-243, 2008
  39. Jair Cervantes, Xiaoou Li, Wen Yu, Kang Li, Support vector machine classification for large data sets via minimum enclosing ball clustering, Neurocomputing, Vol.71, 611-619, 2008
  40. Floriberto Ortiz, Wen Yu, Marco A. Moreno, Nonlinear systems identification via two types of recurrent fuzzy CMAC, Neural Processing Letters, Vol.28, No.1, 49-62, 2008.
  41. Wen Yu, Xiaoou Li, On-line fuzzy modeling via clustering and support vector machines, Information Sciences, Vol.178, 4264-4279, 2008.
  42. Wen Yu,Floriberto Ortiz, Marco A. Moreno, Hierarchical fuzzy CMAC for nonlinear systems modeling, IEEE Transactions on Fuzzy Systems, Vol.16, No.5, 1302-1314, 2008
  43. Juan Resendiz, Wen Yu, Leonid Fridman, Two-stage neural observer for mechanical systems, IEEE Transactions on Circuits and Systems: Part II, Vol.55, No.10, 1076-1080, 2008.
  44. Zhanshan Wang, Huaguang Zhang, Wen Yu, Robust Stability of Cohen-Grossberg Neural Networks via State Transmission Matrix, IEEE Transactions on Neural Networks, Vol.20, No.1, 169-174, 2009.
  45. Zhanshan Wang, Huaguang Zhang, Wen Yu, Robust stability criteria for interval Cohen-Grossberg neural networks with time varying delay, Neurocomputing, Vol. 72, No.4-6, 1105-1110, 2009
  46. Wen Yu, Xiaoou Li, Online fuzzy modeling with structure and parameter learning, Expert Systems With Applications, Vol. 36, 7484-7492, 2009
  47. Wen Yu, Nonlinear PD regulation for ball and beam system, International Journal of Electrical Engineering Education, Vol. 46, No.1, 59-73, 2009
  48. Wen Yu, José de Jesús Rubio, Recurrent neural networks training with stable bounding ellipsoid algorithm, IEEE Transactions on Neural Networks, Vol.20, No.6, 983-991,2009.
  49. Wen Yu, A novel fuzzy neural networks modeling approach to crude oil blending, IEEE Transactions on Control Systems Technology, Vol.17, No.6, 1424-1431, 2009
  50. José de Jesús Rubio, Wen Yu, Andres Ferreyra, Neural network training with optimal bounded ellipsoid algorithm, Neural Computing and Applications, Vol.18, No.6, 623-631, 2009
  51. Qiumei Cong, Wen Yu, Tianyou Chai, Cascade Process Modeling with Mechanism-Based Hierarchical Neural Networks, International Journal of Neural Systems, Vol.20, No.1, 1-11, 2010
  52. Xiaoou Li and Wen Yu, Synchronization of Ball and Beam Systems with Neural Compensation, International Journal of Control, Automation, and Systems, Vol.8, No.3, 491-496, 2010
  53. Cruz Vega Israel, Wen Yu, Multiple fuzzy neural networks modeling with sparse data, Neurocomputing, Vol. 73, No.13-15, 2446-2453, 2010
  54. Wen Yu, Fuzzy modeling via on-line support vector machines, International Journal of Systems Science,Vol.41, No.11, 1325-1335, 2010
  55. Wen Yu, Xiaoou Li, Automated Nonlinear System Modeling with Multiple Fuzzy Neural Networks and Kernel Smoothing, International Journal of Neural Systems, Vol.20, No.5, 429-435, 2010
  56. Wei Wang, Wen Yu, Lijie Zhao, Tianyou Chai, PCA and Neural Networks Based Soft Sensing Strategy with Application in Sodium Aluminate Solution, Journal of Experimental & Theoretical Artificial Intelligence, Vol. 23, No. 1, 127-136, 2011
  57. Wen Yu, Marco A. Moreno, Floriberto Ortiz, Stable adaptive compensation with fuzzy CMAC for an overhead crane, Information Sciences, Vol.181, No.21, 4895-4907, 2011
  58. Wen Yu, Kang Li, Xiaoou Li, Automated nonlinear system modeling with multiple neural networks, International Journal of Systems Science, Vol.42, No.10,1683-1695, 2011
  59. Wen Yu, Panuncio Cruz, Xiaoou Li, Two-stage neural sliding mode control of magnetic levitation in minimal invasive surgery, Neural Computing and Application, Vol.20, No.8, 1141-1147, 2011
  60. Jian Tang, Tianyou Chai, Lijie Zhao, Wen Yu, Heng Yue, Soft sensor for parameters of mill load based on multi-spectral segments PLS sub-models and on-line adaptive weighted fusion algorithm, Neurocomputing, Vol.78, No.1,38-47, 2012
  61. Jian Tang, Tianyou Chai, Wen Yu, Lijie Zhao, Feature Extraction and Selection Based on Vibration Spectrum with Application to Estimate the Load Parameters of Ball Mill in Grinding Process, Control Engineering Practice, Vol.20, No.10, 991-1004,2012.
  62. Juan Cordova, Wen Yu, Two Types of Haar Wavelet Neural Networks for Nonlinear System Identification, Neural Processing Letters, Vol.35, No.3, 283-300, 2012
  63. Wei Wang, Tianyou Chai,Wen Yu, Hong Wang, Chunyi Su, Modeling Component Concentrations of Sodium Aluminate Solution via Hammerstein Recurrent Neural Networks, IEEE Transactions on Control Systems Technology, Vol.20, No.4, 971-982, 2012
  64. Jian Tang, Wen Yu, Tianyou Chai, Lijie Zhao, On-line Principal Component Analysis with Application to Process Modeling, Neurocomputing, Volume 82, No.1,167-178, 2012
  65. Xiaoou Li, Jair Cervantes, Wen Yu, Fast Classification for Large Data Sets via Random Selection Clustering and Support Vector Machines, Intelligent Data Analysis, Vol.16, No.6, 897-914, 2012
  66. Suresh Thenozhi, Wen Yu, Asdrúbal López, Xiaoou Li, Structural Health Monitoring of Tall Buildings with Numerical Integrator and Convex-Concave Hull Classification, Mathematical Problems in Engineering, Vol.2012, Article ID 212369, 15 pages, 2012.
  67. Xiaoou Li and Wen Yu, Anti-swing control for an overhead crane with fuzzy compensation, Intelligent Automation and Soft Computing, Vol.18, No.1,1-11, 2012
  68. Xiaoou Li, Wen Yu, Xiaoli Li, On-line Modeling via Fuzzy Support Vector Machines and Neural Networks, Journal of Intelligent and Fuzzy Systems, Vol.24, No.3, 665-675, 2013.
  69. Wen Yu and Jacob Rosen, Neural PID Control of Robot Manipulators with Application to an Upper Limb Exoskeleton, IEEE Transactions on Cybernetics, Vol.43, No.2, 673-684, 2013.
  70. Asdrúbal López, Xiaoou Li, Wen Yu, Large data sets classification using convex concave hull and support vector machine, Soft Computing, Vol.17, 793-804, 2013
  71. Suresh Thenozhi, Wen Yu, Ruben Garrido, A Novel Numerical Integrator for Velocity and Position Estimation, Transactions of the Institute of Measurement and Control, Vol.35, No.6, 824-833, 2013
  72. Jian Tang, Tianyou Chai, Wen Yu, Lijie Zhao, Modeling Load Parameters of Ball Mill in Grinding Process Based on Selective Ensemble Multisensor Information, IEEE Transactions on Automation Science and Engineering, Vol.10, No.3, 726-740, 2013
  73. Luis Arturo Soriano, Wen Yu, Jose de Jesus Rubio, Modeling and Control of Wind Turbine: A Review, Mathematical Problems in Engineering, Vol.2013, Article ID 982597, 13 pages, 2013.
  74. Asdrúbal López, Xiaoou Li, Wen Yu, Convex and Concave Hulls for Classification with Support Vector Machine, Neurocomputing, Vol.122, 198-209, 2013
  75. Wen Yu, Xiaoou Li, Roberto Carmona, A novel PID tuning method for robot control, Industrial Robot - An International Journal, Vol.40, No.6, 578-582, 2013
  76. Suresh Thenozhi and Wen Yu, Advances in Modeling and Vibration Control of Building Structures, Annual Reviews in Control, Vol.37, 346-364, 2013
  77. Erik Zamora, Wen Yu, Recent advances on simultaneous localization and mapping for mobile robots, IETE Technical Review, Vol.30, No.6, 490-497, 2013
  78. Jose de Jesus Rubio, Luis Arturo, Wen Yu, Dynamic Model of a Wind Turbine for the Electric Energy Generation, Mathematical Problems in Engineering, Vol.2014, Article ID 409268, 8 pages, 2014.
  79. Sergio Galvan, Marco A. Moreno, Jose de Jesus Rubio, Floriberto Ortiz, Wen Yu and Carlos F. Aguilar, Dual PD control regulation with nonlinear compensation for a ball and plate system, Mathematical Problems in Engineering, Volume 2014, Article ID 894209, 10 pages, 2014
  80. Wen Yu , Xiaoou Li, Francisco Panuncio, Stable Neural PID Anti-Swing Control for an Overhead Crane, Intelligent Automation and Soft Computing, Vol.20, No.2, 145-158, 2014
  81. Asdrúbal López, Xiaoou Li, Wen Yu, Support vector machine classification for large datasets using decision tree and Fisher linear discriminant, Future Generation Computer Systems, Vol.36, No.1, 57-65, 2014
  82. Suresh Thenozhi, Wen Yu, Stability Analysis of Active Vibration Control of Building Structures Using PD/PID Control, Engineering Structures, Vol.81, No.7, 208-218, 2014
  83. Jair Cervantes, Xiaoou Li, Wen Yu, Imbalanced Data Classification via Support Vector Machines and Genetic Algorithms, Connection Science, Vol. 26, No. 4, 335-348, 2014
  84. Xiaoou Li, Wen Yu, Fast Support Vector Machine Classification for Large Data Sets, International Journal of Computational Intelligence Systems, Volume 7, Issue 2, 197-212, 2014
  85. Javier Garrido, Wen Yu, Alberto Soria, Human Behavior Learning for Robot in Joint Space, Neurocomputing, Vol.155, 22-31, 2015.
  86. Wen Yu, Neural Feedback Passivity of Unknown Nonlinear Systems via Sliding Mode Technique, IEEE Transactions on Neural Networks and Learning Systems, Vol.26, No.7, 1560-1566, 2015.
  87. Suresh Thenozhi and Wen Yu, Active vibration control of building structures using fuzzy proportional-derivative/proportional-integral-derivative control, Journal of Vibration and Control, Vol.21, No.2, 2340-2359, 2015
  88. Zuo Liu, Tianyou Chai, Wen Yu, Jian Tang, Multi-Frequency Signals Modeling Using Empirical Mode Decomposition and PCA with Application to Mill Load Estimation, Neurocomputing, Vol.169, 392-402, 2015.
  89. Carlos Parga, Wen Yu, Xiaoou Li, A Low-cost Ball and Plate System for Advanced Control Education, International Journal of Electrical Engineering Education, Vol. 52 No.4, 370-384 , 2015
  90. Raheleh Jafari, Wen Yu, Fuzzy Control for Uncertainty Nonlinear Systems with Dual Fuzzy Equations, Journal of Intelligent and Fuzzy Systems, Vol. 29 No.3, 1229-1240, 2015
  91. Hipolito Aguilar, Wen Yu, Sergio Salazar, Ricardo Lopez, Design and Control of Hybrid Actuation Lower Limb Exoskeleton, Advances in Mechanical Engineering, Vol. 7, No.6, 1-13, 2015
  92. Satyam Paul, Wen Yu, Xiaoou Li, Recent Advances in Bidirectional Modeling and Structural Control, Shock and Vibration, Volume 2016, Article ID 6275307, 17 pages, 2016
  93. Wen Yu, Erik Zamora, Alberto Soria, Ellipsoid SLAM: A Novel Set Membership Method for Simultaneous Localization and Mapping, Autonomous Robots, Vol.40, No.1, 125-137, 2016
  94. Suresh Thenozhi and Wen Yu, Sliding Mode Control of Wind-induced Vibrations Using Fuzzy Sliding Surface and Gain Adaptation, International Journal of Systems Science, Vol.47, No.6, 1258-1267, 2016
  95. Wen Yu, Javier Garrido; Xiaoou Li, Robot Trajectory Generation Using Modified Hidden Markov Model and Lloyd's Algorithm in Joint Space, Engineering Applications of Artificial Intelligence, Vol.53, No.2, 32-40, 2016
  96. Erick de la Rosa and Wen Yu, Randomized Algorithms for Nonlinear System Identification with Deep Learning Modification, Information Sciences, Vol.364, 197-212, 2016
  97. Xiaoou Li , Wen Yu, Salvador Villegas, Structural Health Monitoring of Building Structures With Online Data Mining Methods, IEEE Systems Journal, VOL.10, NO.3, 1291-1300, 2016.
  98. Jian Tang, Wen Yu, Tianyou Chai, Zhuo Liu, Selective ensemble modeling load parameters of ball mill based on multi-scale frequency spectral features and sphere criterion, Mechanical Systems and Signal Processing, Vol.66-67, 485-504, 2016.
  99. J.P.Ortiz, R.Carreno, A.S.Balankin, M.P.Oritz, J.C.Tovar, M.A.Acevedo, M.A.Martinez, W.Yu, Seismic Activity Seen through Evolution of the Hurst Exponent Model in 3D, Fractals, Vol.24, No.4, 1650045(1) - 1650045(10), 2016
  100. Javier Garrido, Wen Yu, Xiaoou Li, Modular Design and Control of an Upper Limb Exoskeleton, Journal of Mechanical Science and Technology, Vol.30, No.5, 2265 - 2271, 2016
  101. Jian Tang, Zhuo Liu, Jian Zhang, Zhiwei Wu, Tianyou Chai, Wen Yu, Kernel latent features adaptive extraction and selection method for multi-component non-stationary signal of industrial mechanical device, Nurocomputing, Vol.216, No.1, 296 - 309, 2016
  102. Wen Yu, Erik Zamora, Novel Autonomous Navigation Algorithms in Dynamic and Unknown Environments, Cybernetics & Systems, Vol.47, No.7, 523 - 543, 2016
  103. Jian Tang, Tianyou Chai, Wen Yu, Zhuo Liu, Xiaojie Zhou, A Comparative Study that Measures Ball Mill Load Parameters through Different Single-scale and Multi-scale Frequency Spectra-based Approaches, IEEE Transactions on Industrial Informatics, Vol.12, No.6, 2008 - 2019, 2016
  104. Raheleh Jafari, Wen Yu, Xiaoou Li, Fuzzy Differential Equations for Nonlinear System Modeling with Bernstein Neural Networks, IEEE Access, Vol.4, 9428- 9436, 2016
  105. Jian Tang, Jian Zhang, Zhiwei Wu, Zhuo Liu, Tianyou Chai, Wen Yu, Modelling collinear data using double-layer GA-based selective ensemble kernel partial least squares algorithm, Neurocomputing, Vol.219, 248-262, 2017
  106. Raheleh Jafari, Wen Yu, Fuzzy Modeling for Uncertainty Nonlinear Systems with Fuzzy Equations, Mathematical Problems in Engineering, Vol. 2017, Article ID 8594738, 10 pages, doi:10.1155/2017/8594738, 2017
  107. David Luviano and Wen Yu, Path Planning of Multi-Agent Systems in Unknown Environment with Neural Kernel Smoothing and Reinforcement Learning, Neurocomputing, Vol.233, 34-42, 2017
  108. R.Carreno, Wen Yu, J.C.Tovar, M.A.Martinez, M.A.Acevedo, A nonlinear estimation acoustic transducer based on a variable structure control law, Fractals, Vol.25, No.2, 1750018, 2017
  109. Luviano David, Wen Yu, Continuous-time path planning for multi-agents with fuzzy reinforcement learning, Journal of Intelligent & Fuzzy Systems, Vol.33, 491-501, 2017
  110. Raheleh Jafari, Wen Yu, Xiaoou Li, Sina Razvar, Numerical Solution of Fuzzy Differential Equations with Z-numbers Using Bernstein Neural Networks, International Journal of Computational Intelligence Systems, Vol.10, No.1, 1226-1237, 2017
  111. Jorge Cervantes, Wen Yu, Sergio Salazar, Isaac Chairez, Takagi-Sugeno Dynamic Neuro-Fuzzy Controller of Uncertain Nonlinear Systems, IEEE Transactions on Fuzzy Systems, Vol.25, No.6, 1601-1615, 2017
  112. Jorge Cervantes, Wen Yu, Sergio Salazar, On-line T-S Fuzzy Control Using Riccati Differential Equation, Journal of Intelligent & Fuzzy Systems, Vol.33, 3871-3881, 2017
  113. R.Carreno, Wen Yu, J. C. Tovar, M. Elena, M. Patino, J.J.Medel, D. Pacheco, Comparative analysis on non linear models for RON gasoline blending using neural networks, Fractals, Vol.25, No.6, 1750064, 2017
  114. Jian Tang, Junfei Qiao, ZhiWei Wu, Tianyou Chai, Jian Zhang, Wen Yu, Vibration and acoustic frequency spectra for industrial process modeling using selective fusion multi-condition samples and multi-source features, Mechanical Systems and Signal Processing, Vol.99, No.15, 142-168, 2018
  115. Satyam Paul, Wen Yu, Xiaoou Li, Bidirectional active control of structures with type-2 fuzzy PD and PID, International Journal of Systems Science, Vol.49, No.4, 766-782, 2018
  116. Qiumei Cong, Wen Yu, Integrated soft sensor with wavelet neural network and adaptive weighted fusion for water quality estimation in wastewater treatment process, Measurement, Vol.124, August, 436-446, 2018
  117. Satyam Paul, Wen Yu, A method on bidirectional active control of structures, Journal of Vibration and Control, Vol.24, No.15, 3400-3417, 2018
  118. Raheleh Jafari, Wen Yu, Xiaoou Li, Numerical solution of fuzzy equations with Z-numbers using neural networks, Intelligent Automation and Soft Computing, Vol.24, No.1, 152-158, 2018
  119. Jian Tang, Junfei Qiao, Jian Zhang, Zhiwei Wu, Tianyou Chai, Wen Yu, Combinatorial optimization of input features and learning parameters for decorrelated neural network ensemble-based soft measuring model, Volume 275, Pages 1426-1440, Neurocomputing, January 2018.
  120. Wen Yu and Mario Lopez, Impact of random weights on nonlinear system identification using convolutional neural networks, Information Sciences, Vol.477, 1-14, 2019
  121. Satyam Paul, Wen Yu, Xiaoou Li, Discrete-time sliding mode for building structure bidirectional active vibration control, Transactions of the Institute of Measurement and Control, Vol.41, No.2, 433-1444, 2019
  122. R.Carreno, V.Aguilar, D.Pacheco, W.Yu, M.Elena, An IoT Expert System Shell in Block-Chain Technology with ELM as Inference Engine, International Journal of Information Technology & Decision Making, Vol. 18, No. 1, pp. 87-104, 2019
  123. Adolfo Perrusquia, Wen Yu, Alberto Soria, Position/force control of robot manipulators using reinforcement learning, Industrial Robot, Vol.46, No.2, 267-280, 2019
  124. Wen Yu and Erick de la Rosa, Deep Boltzmann Machine for Nonlinear System Modelling, International Journal of Machine Learning and Cybernetics, Vol.10, No. 7, 1705–1716, 2019
  125. J.Yang, T.Chai, C.Luo, W.Yu, Intelligent Demand Forecasting of Smelting Process Using Data-Driven and Mechanism Model, IEEE Transactions on Industrial Electronics, Vol.66, No.12, 9745-9755, 2019
  126. R.Carreno, M.Acevedo Mosqueda, A.Mosqueda, F.Martinez, D.Pacheco and W.Yu, Computational Intelligence For Shoeprint Recognition, Fractals, Vol. 27, No. 4, 1-13, 2019
  127. James Yu, Wen Yu, Jiatao Gu, Online vehicle routing with neural combinatorial optimization and deep reinforcement learning, IEEE Transactions on Intelligent Transportation Systems, Vol. 20, No. 10, 3806-3816, 2019
  128. G. Puriel-Gil, W.Yu, and H.Sossa, Reinforcement Learning Compensation based PD Control for a Double Inverted Pendulum, IEEE Latin America Trans., Vol.17, No.2, 323-330, 2019
  129. Edgar Estrada, Wen Yu, Xiaoou Li, Stability and transparency of delayed bilateral teleoperation with haptic feedback, International Journal of Applied Mathematics and Computer Science, Vol. 29, No. 4, 681-692, 2019
  130. J.Tang, J.Qiao, Z.Liu, N.Sheng ,Wen Yu, G.Yu, Dual-layer optimized selective information fusion using multi-source multi-component mechanical signals for mill load parameters forecasting, Mechanical Systems and Signal Processing, 135, 106371, 2020
  131. Adolfo Perrusquia and Wen Yu, Human-in-the-loop control using Euler angles, Journal of Intelligent & Robotic Systems,Vol.97, No.1, 271-285, 2020
  132. Wei Wang, Yao Jia, Kewei Cai, Wen Yu, An Aquaponics System Design for Computational Intelligence Teaching, IEEE Access, Vol.8, 42364-42371, 2020
  133. Erick de la Rosa, Wen Yu, Data-driven fuzzy modeling using restricted Boltzmann machines and probability theory, IEEE Transactions on Systems, Man and Cybernetics: Systems, Vol.50, No.7, 2316-2326, 2020
  134. Wen Yu and Adolfo Perrusquia, Simplified stable admittance control using end-effector orientations, International Journal of Social Robotics, Vol.12, No.5, 1061-1073, 2020
  135. Jorge Cervantes,Wen Yu,Sergio Salazar,Isaac Chairez, Time-Varying Output-Based Takagi-Sugeno Fuzzy Controller of Uncertain Nonlinear Systems, International Journal of Systems Science, Volume 51, Issue 91, 495-1510,2020
  136. Adolfo Perrusquía, Wen Yu, Robust control under worst-case uncertainty for unknown nonlinear systems using modified reinforcement learning, International Journal of Robust and Nonlinear Control, Vol.30, No.7, 2920-2936, 2020 (journal cover)
  137. Adolfo Perrusquía and Wen Yu, Robot position/force control in unknown environment using hybrid reinforcement learning, Cybernetics and Systems, Vol.51, No.4, 542-560, 2020.
  138. J.Tang, J.Zhang, G.Yu, W. Zhang and W.Yu, Multisource Latent Feature Selective Ensemble Modeling Approach for Small-sample Highdimensional Process Data in Applications, IEEE Access, 148475-148488, Vol.8, 2020, DOI:10.1109/ACCESS.2020.3015875.
  139. Mario Lopez, Jesus Morales, Wen Yu, Frequency domain CNN and disipate energy approach for damage detection in building structures, Soft Computing, Vol.24, 15821-1584051, 2020
  140. Abigail Ramirez, J. Covarrubias, L. Amezquita, O.Garcí, Wen Yu, Fuzzy adaptive neurons applied to the identification of parameters and trajectory tracking control of a multi-rotor unmanned aerial vehicle based on experimental aerodynamic data, Journal of Intelligent & Robotic Systems, Vol.100, 647-665, 2020.
  141. Jesus Morales, Mario Lopez, Wen Yu, Automated damage location for building structures using the hysteretic model and frequency domain neural networks, Structural Control and Health Monitoring, Vol.27, No. 9, 1-15, 2020
  142. Wen Yu and Francisco Vega, Nonlinear System Modeling Using the Takagi-Sugeno Fuzzy Model and Long-Short Term Memory Cells, Journal of Intelligent & Fuzzy Systems, Vol. 39, No. 3,4547 - 4556, 2020
  143. Abigail Ramirez, Wen Yu, Xiaoou Li, A Novel Fuzzy System with Adaptive Neurons for Earthquake Modeling, IEEE Access, Vol.8, 101369-101376, 2020, DOI: 10.1109/ACCESS.2020.2998446
  144. Jorge Morales, Wen Yu, Luciano Telesca, Bayesian approach for predicting the distribution of magnitudes, interevent times and distances of earthquake sequences, Cybernetics and Systems, Vol.51, No.8, 733-745, 2020
  145. Raheleh jafari, Wen Yu, Sina Razvarz, Alexander Gegov, Numerical methods for solving fuzzy equations: A Survey, Fuzzy Sets and Systems, Vol.404, 1-22, 2021
  146. Wen Yu, Jesus Gonzalez, Xiaoou Li, Fast Training of Deep LSTM Networks with Guaranteed Stability for Nonlinear System Modeling, Neurocomputing, Vol. 422, No.1, 85-94, 2021.
  147. Erick García, Wen Yu, Xiaoou Li, Optimum design of a parallel robot using neuro-genetic algorithm, Journal of Mechanical Science and Technology, Vol.35, No.1, 293-305, 2021
  148. W.Wang, Y.Jia, W.Yu, H.Pang, K.Cai, On-line Ammonia Nitrogen Measurement Using Generalized Additive Model and Stochastic Configuration Networks, Measurement, Vol.170, No.108743, 1-8, 2021
  149. Adolfo Perrusquía, Wen Yu, Xiaoou Li, Multi-agent Reinforcement Learning for Redundant Robot Control in Task-space, International Journal of Machine Learning and Cybernetics, 12(1), 231-241, 2021
  150. Fernando Gomez, Wen Yu, Discrete-Time Tri-directional Active Control of Building Structures, Engineering Structures, Vol. 243, 112689, 2021
  151. Jorge Morales, Wen Yu, Improving Neural Network's Performance Using Bayesian Inference, Neurocomputing, Vol. 461, 319-326, 2021
  152. Abigail Ramirez, Wen Yu, Xiaoou Li, Fuzzy Identification of Systems based on Adaptive Neurons, Journal of Intelligent & Fuzzy Systems, Vol. 40, No. 6, 10767-10779, 2021
  153. Adolfo Perrusquia, Wen Yu, Xiaoou Li, Nonlinear Control Using Human Behavior Learning, Information Sciences, Vol.569, No.4, 358-375, 2021
  154. Adolfo Perrusquia and Wen Yu, Continuous time reinforcement learning for robust control under worst-case uncertainty, International Journal of Systems Science, Vol.52, No.4, 770-784, 2021
  155. Edgar Estrada, Wen Yu, Xiaoou Li, Stable Bilateral Teleoperation with Phase Transition and Haptic Feedback, Journal of the Franklin Institute, Vol.358, No.3, 1940-1956, 2021
  156. Adolfo Perrusquia and Wen Yu, Identification and Optimal Control of Nonlinear Systems Using Recurrent Neural Networks and Reinforcement Learning: An Overview, Neurocomputing, Vol.438, No.1, 143-154, 2021
  157. J.Serrano, G.Fernández, S.Moreno, W.Yu, New Results for Prediction of Chaotic Systems Using Deep Recurrent Neural Networks, Neural Processing Letters, 53, Vol 53, pages:1579–1596 (2021)
  158. Wen Yu, Erick de la Rosa, Neural Modeling with Guaranteed Input-Output Probability Distributions, IEEE Transactions on Systems, Man and Cybernetics: Systems, VOL.51, NO.11, 6660-6668, 2021
  159. J.Tang, H.Xia, J.Zhang, J.Qiao, W.Yu,Deep Forest Regression based on Cross-Layer Full Connection, Neural Computing and Applications, VOL 33, pages: 9307-9328, 2021
  160. Adolfo Perrusquia and Wen Yu, Discrete-time H2 Neural Control Using Reinforcement Learning, IEEE Transactions on Neural Networks and Learning Systems, VOL.32, NO.11, 4879-4889, 2021
  161. Mario Maya, Wen Yu, Wen, LucianoTelesca, Neural Networks for Long-Term Earthquake Prediction Using Modified Meta-Learning, Journal of Intelligent & Fuzzy Systems, vol. 41, no. 6, pp. 6375-6388, 2021
  162. Adolfo Perrusquia and Wen Yu, Neural H2 control Using Continuous-time Reinforcement Learning, IEEE Transactions on Cybernetics, VOL.52, NO.6, 4485-4494, 2022
  163. Ivan Hernandez, Wen Yu, Control of Active Lower Limb Prosthesis Using Human-in-the-loop Scheme, Cogent Engineering, Vol.9, No.1, 2067026, 2022
  164. Mario Maya, Wen Yu, Meta-Transfer Learning Using Wavelet Decomposition for Multi-Horizon Time Series Forecasting, IEEE Access, Vol.10, 30284-30295, 2022
  165. Jesús Gonzalez, Wen Yu, Luciano Telesca, Gated recurrent units based recurrent neural network for forecasting the characteristics of the next earthquake, Cybernetics and Systems, VOL.53, NO.2, 209-222, 2022
  166. Adolfo Perrusquia, Alejandro Flores, Wen Yu, Optimal Sliding Mode Control for Cutting Tasks of Quick-Return Mechanisms, ISA Transactions, Vol.22, 88-95, 2022
  167. Jorge Morales, Wen Yu, Luciano Telesca, Bayesian Inference for Data Driven Training with Application to Seismic Parameter Prediction, Soft Computing, Vol.26, 867-876, 2022
  168. Mario Lopez, Wen Yu, Complex Valued Deep Neural Networks for Nonlinear System Modeling, Neural Processing Letters, Vol.54, 559-580, 2022
  169. Jorge Ramirez, Wen Yu, Adolfo Perrusquia, Model-Free Reinforcement Learning from Expert Demonstrations: A Survey, Artificial Intelligence Review, Vol.55, 3213-3241, 2022.
  170. Ivan Hernandez, Wen Yu, Recent Advances on Control of Active Lower Limb Prostheses, IETE Technical Review, Vol.39, No.6, 1225-1244, 2022
  171. Karla Rincon, Isaac Chairez, Wen Yu, Finite-Time Output Feedback Robust Controller Based on Tangent Barrier Lyapunov Function for Restricted State Space for Biped Robot, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol.52, No.8, 5042-5055, 2022
  172. Z.Zhang, Y.Zhu, X.Wang, W.Yu, Optimal echo state network parameters based on behavioural spaces, Neurocomputing, Vol.503, No.7, Pages 299-313, 2022
  173. Adolfo Perrusquia, Rubén Garrido, Wen Yu, Stable Robot Manipulator Parameter Identification: A Closed-Loop Input Error Approach, Automatica, Vol.141, 110294, 2022
  174. Karla Rincon, Isaac Chairez, Wen Yu, Mathematical Modeling and Robust Control of a Restricted State Suspended Biped Robot Implementing Linear Actuators for Articulation Mobilization, Applied Sciences, Vol.12, 8831, 2022
  175. Mario Ramírez-Neria, Jesús Morales-Valdez, Wen Yu, Active vibration control of building structure using active disturbance rejection control, Journal of Vibration and control, Vol.28, 2171-2186, 2022
  176. J.Tang, H.Xia, J.Zhang, J.Qiao, W.Yu, DF classification algorithm for constructing a small sample size of data-oriented DF regression model, Neural Computing and Applications, Vol.34, 2785-2810, 2022
  177. Mario Maya, Wen Yu, LucianoTelesca, Multi-Step Forecasting of Earthquake Magnitude Using Meta-Learning Based Neural Networks, Cybernetics and Systems, Vol.53, No.6, 563-580, 2022.
  178. Francisco Vega, Wen Yu, Smartphone Based Structural Health Monitoring Using Deep Neural Networks, Sensors and Actuators: A.Physical, Vol.346, 13820, 2022
  179. Andrés Rodríguez-Torres, Mario López-Pacheco, Jesús Morales-Valdez, Wen Yu, Jorge Guillermo Díaz. Robust force estimation for magnetorheological damper based on complex value convolutional neural network. Journal of Computational and Nonlinear Dynamics, Volume 17, Issue 12: 121003, 2022
  180. Jorge Ramirez and Wen Yu, Reinforcement learning from expert demonstrations with application to redundant robot control, Engineering Applications of Artificial Intelligence, Vo.119, 105753, 2023
  181. Zhuo Liu, Tianyou Chai, Jian Tang, Wen Yu, Heterogeneous selective ensemble learning model for mill load parameters forecasting by using multiscale mechanical frequency spectrum, Soft Computing, Vol. 26, pp.13467-13484, 2023
  182. H.Xia, J.Tang, W.Yu, C.Cui, J.Qiao, Takagi–Sugeno Fuzzy Regression Trees with Application to Complex Industrial Modeling, IEEE Transactions on Fuzzy Systems, VOL. 31, NO. 7, 2210-2224, 2023
  183. C.Cui, J.Tang, H.Xia, J.Qiao, W.Yu, Virtual sample generation method based on generative adversarial fuzzy neural network, Neural Computing and Applications, Vol. 35, pp.6979-7001, 2023
  184. C.Cui, J.Tang, H.Xia, W.Yu, J.Qiao, Multi-scale Modeling Using GAN and Deep Forest Regression with Application to Dioxin Emission Soft Sensor, IEEE Transactions on Instrumentation & Measurement, Vol. 72, 2526813, 2023
  185. C.Xu, J.Tang, H.Xia, W.Yu, J.Qiao, Dioxin Emission Concentration Prediction using the Selective Ensemble Algorithm based on Bayesian Inference and Binary Tree, IEEE Transactions on Instrumentation & Measurement, Vol.72, 2528514, 2023
  186. Abigail Ramirez and Wen Yu, Fuzzy Adaptive Control Law for Trajectory Tracking Based on a Fuzzy Adaptive Neural PID Controller of a Multi-rotor Unmanned Aerial Vehicle, International Journal of Control, Automation and Systems, Vol. 21, No. 2, 658-670, 2023
  187. C.Yang, S.Yang, J.Tang, J.Qiao,W.Yu, Evolving deep elay echo state network for effluent NH4-N prediction in wastewater treatment plants, IEEE Transactions on Instrumentation & Measurement, Vol. 72, 2513812, 2023
  188. J.Chen, J.Tang, H.Xia, W.Yu, J.Qiao, Modeling the furnace temperature field of a municipal solid waste incinearator using numerical simulation and deep forest regaression algorithm, Fuel, Vol. 347, No. 1, 128511, 2023
  189. Abigail Ramirez, Wen Yu, Xiaoou Li, A new spike membership function for the recognition and processing of spatiotemporal spike patterns: syllable-based speech recognition application, Mathematics, Vol. 11, 2525, 2023
  190. J.Tang, X.Pan, H. Xia, W.Yu, J.Qiao, Combustion State Identification of MSWI Processes Using Vi-IDFC, Engineering Applications of Artificial Intelligence, Vol.126, Part B, 106893, 2023
  191. Jian Tang, Heng Xia, Wen Yu, Dioxin Emission Modeling Using Feature Selection and Simplified DFR with Residual Eror Fiting for the Grate-based MSWI Process, Waste Management, Volume 168, No.1, Pages 256-271, 2023
  192. W.Xu, J.Tang, H.Xia, W.Yu, J.Qiao, Multi-objective PSO semi-supervised random forest method for dioxin soft sensor, Engineering Applications of Artificial Intelligence, Volume 135, 108772, 2024
  193. Heng Xia, Jian Tang, Wen Yu, Junfei Qiao, Online measurement of dioxin emission in solid waste incineration using fuzzy broad learning, IEEE Transactions on Industrial Informatics, Vol.20, No.1, 358-368, 2024
  194. C.Yang, D.Wang, J.Tang, J.Qiao, W.Yu, Multi-reservoir ESN-based prediction strategy for dynamic multi-objective optimization, Information Sciences, Vol.652, 119495, 2024
  195. R. Zhang, J.Tang, H.Xia, J.Chen, W.Yu, J.Qiao, Heterogeneous ensemble prediction model of CO emission concentration in municipal solid waste incineration process using virtual data and real data hybrid-driven, Journal of Cleaner Production, Vol.445, No.15, 141313 , 2024
  196. T. Wang, J. Tang, H. Xia, C.Yang, W. Yu, J.Qiao, Data-driven multi-objective intelligent optimal control of municipal solid waste incineration process, Engineering Applications of Artificial Intelligence, Volume 137, Part A, 2024, 109157.
  197. R.Zhang, J.Tang, H.Xia, X.Pan, W.Yu, J.Qiao, CO emission prediction of municipal solid waste incineration process based on reduced depth features and long short-term memory optimization, Neural Computing and Applications, Vol.36, 5473-5498, 2024
  198. Ivan Hernandez, Wen Yu, Design and Control of Active Lower Limb Prosthesis with Sensorial Frame, Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, Volume 238, Issue 4, 648-660, 2024
  199. Heng Xia, Jian Tang, Wen Yu, Junfei Qiao, Tree Broad Learning System for Small Data Modeling, IEEE Transactions on Neural Networks and Learning Systems, VOL. 35, NO. 7, 8909-8923, 2024
  200. Heng Xia, Jian Tang, Wen Yu, Junfei Qiao, Hybrid simulator-based mechanism and data-driven for multi-demand dioxin emissions intelligent prediction in the MSWI process, IEEE Transactions on Industrial Electronics, VOL. 71, NO. 10, 13221, 2024
  201. Ivan Hernandez, Wen Yu, Xiaoou Li, Optimal PD Control Using Conditional GAN and Bayesian Inference, IEEE Access, VOLUME 12, 48255-48265, 2024
  202. Abigail Ramírez-Mendoza, Filiberto Muñoz, Wen Yu, IMPLEMENTATION OF FUZZY ADAPTIVE NEURONAL CONTROL APPLIED TO TRAJECTORY TRACKING OF AN AUTONOMOUS UNMANNED SURFACE VEHICLE, DYNA New Technologies, vol. 11, no.1, 1-15, 2024
  203. Xianyao Han, Wen Yu, Yao Jia and Tianyou Chai, Feed Concentration Forecasting Using Closed-Loop Input Error and Deep Learning, IEEE Transactions on Industrial Informatics, VOL. 20, NO. 11, 12793-12802, 2024
  204. Liyi Yu, Wen Yu, Yao Jia, Tianyou Chai, Intelligent operational control method integrating human expertise and real-time data for alumina digestion process, Control Engineering Practice, VOL.156, 106196, 2025
  205. Andrés Rodríguez-Torres, Jesús Morales-Valdez, Wen Yu, Semi-active vibration control via a magnetorheological damper and active disturbance rejection control, Transactions of the Institute of Measurement and Control
  206. Andres Rodriguez, Jesus Morales, Wen Yu, Alternative tuning method for PD gains for active vibration control in building structures, Transactions of the Institute of Measurement and Control
  207. Kesheng Zhang, Wen Yu, Yao Jia and Tianyou Chai, Comprehensive Production Index Prediction Using Dual-Scale Deep Learning in Mineral Processing, IEEE Transactions on Neural Networks and Learning Systems
  208. H.Tian, J.Tang, H.Xia, W.Yu,.J.Qiao, Bayesian Optimization-Based Interval Type-2 Fuzzy Neural Network for Furnace Temperature Control, IEEE Transactions on Industrial Informatics
  209. Kesheng Zhang, Wen Yu, Tianyou Chai, Dual-Scale Attributed Graph Transformer for Extracting Spatial-temporal Features with Applications in Quality Index Prediction, IEEE Transactions on Emerging Topics in Computational Intelligence
  210. Danwei Zhang, Wen Yu, Tianyou Chai, Spatio-Temporal Attention Adversarial Autoencoders for Enhanced Anomaly Detection in High-Pressure Grinding Rolls, IEEE Transactions on Industrial Informatic
  211. Danwei Zhang, Hongshuo Sun, Wen Yu, Quan Xu, Tianyou Chai, A Co-Attention Enhanced Multimodal Feature Fusion with Inner Feature for Anomaly Detection, IEEE/ASME Transactions on Mechatronics
  212. Liyi Yu, Wen Yu, Yao Jia, Tianyou Chai, Deep Learning Framework for Collaborative Variable Time Delay Estimation and Uncertainty Quantification in Industrial Quality Prediction, IEEE Transactions on Industrial Information
  213. Liyi Yu, Wen Yu, Yao Jia, Tianyou Chai, Real-Time Caustic Ratio Prediction in Alumina Digestion Process for Closed-Loop Operation: A Cloud-Edge Deep Learning Approach, IEEE Transactions on Automation Science and Engineering
Edited books
  1. Sun, F.; Zhang, J.; Tan, Y.; Cao, J.; Yu, W. (Eds.) , Advances in Neural Networks - ISNN 2008 (Part I), Lecture Notes in Computer Science,Vol. 5263, Springer, Berlin 2008
  2. Sun, F.; Zhang, J.; Tan, Y.; Cao, J.; Yu, W. (Eds.) , Advances in Neural Networks - ISNN 2008 (Part II) , Lecture Notes in Computer Science,Vol. 5263, Springer, Berlin 2008
  3. Yu, Wen; He, Haibo; Zhang, Nian (Eds.), Advances in Neural Networks - ISNN 2009 (Part I), Lecture Notes in Computer Science,Vol. 5551, Springer, Berlin 2009
  4. Yu, Wen; He, Haibo; Zhang, Nian (Eds.), Advances in Neural Networks - ISNN 2009 (Part II), Lecture Notes in Computer Science,Vol. 5552, Springer, Berlin 2009
  5. Yu, Wen; He, Haibo; Zhang, Nian (Eds.), Advances in Neural Networks - ISNN 2009 (Part III), Lecture Notes in Computer Science,Vol. 5553, Springer, Berlin 2009
  6. Yu, Wen; Sanchez, Edgar N. (Eds.), Advances in Computational Intelligence, Advances in Intelligent and Soft Computing , Vol. 61, Springer, Berlin 2009
  7. Wen Yu (Ed.), Recent Advances in Intelligent Control Systems, Springer, 2009
  8. Julio Clempner, Wen Yu, (Eds.), New Perspectives and Applications of Modern Control Theory, Springer, Berlin, 2017
Book chapters
  1. W.Yu, X. Li and G.W. Irwin , Stable Anti-Swing Control for an Overhead Crane with Velocity Estimation and Fuzzy Compensation, Applications of Fuzzy Control, Genetic Algorithms and Neural Networks, 223-240, Springer, R.Lowen and A.Verschoren, (Eds), 2007
  2. W.Yu, X. Li, Stable Adaptive Compensation with FCMAC for Overhead Cranes, Recent Advances in Intelligent Control Systems, 67-85, Springer, Wen Yu (Ed.), 2009
  3. Wen Yu, Robust adaptive control using higher order neural networks and projection, Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications, Chapter 5, 99-138, Ming Zhang (Ed.), IGI Global publication, 2010
  4. Wen Yu, Luenberger Observer Design for Uncertainty Nonlinear Systems, 25-43, Julio Clempner and Wen Yu (Eds.), New Perspectives and Applications of Modern Control Theory, Springer, Berlin, 2017
  5. Daniel Carrillo and Wen Yu, Hierarchical Dynamic Neural Networks for Cascade System Modeling with Application to Wastewater Treatment, Alma Alanis, Nancy Arana and Carlos López (Eds.), Artificial Neural Networks for Engineering Applications, 1-8, Academic Press, 2019
  6. Carlos Parga and Wen Yu, Design and Modeling of Shoulder Exoskeleton Using Two Spherical Joints, Jacob Rosen and Peter Ferguson (Eds.), Wearable Robotics, 133-148, Academic Press, 2019
National Journals
  1. Wen Yu and T.Y. Chai , Multivariable Self-tuning Decoupling PID Controller, Control and Decision, Vol.10, No.2, 1995, 178-182, (China).
  2. Wen Yu and T.Y. Chai, Stochastic Self-tuning Controller for a Class of Input Constraints, Information and Control, Vol.21, No.1,1995, 1-7, (China).
  3. Wen Yu, T.Y.Chai and Xingyuan Gu, Robustness and Transient Performance of Adaptive Decoupler for a Class of Multivariable Systems, Journal of Northeastern University, Vol.18, No.2, 1997, 565-569, (China).
  4. Wen Yu and T.Y. Chai, Distributed Control System of Turbine Generators in Qinghe Power Station, Industrial Instrumentation & Automation, Vol.5, No.6, 1994, 45-47, (China).
  5. Wen Yu and Yi Yuan, Centrifuge Rotor Adaptive Control, Control Theory & Application, Vol.14, No.2, 1997, 210-215, (China).}
  6. Guijun Zhang, T.Y.Chai and Wen Yu, Multivariable Self-tuning Feedforward Decoupling PID Controller and Application, Control and Decision, Vol.12, No.2, 1995, 132-135, (China).
  7. Wen Yu and T.Y. Chai, Stochastic Multivariable Adaptive Controller for a Class of Input Constraints, Journal of Northeastern University, Vol.15, No.6, 1997, 560-565, (China).
  8. Wen Yu and M.De la Sen, Robust Model Reference Adaptive Control with Arbitrary Nonlinear Inputs, Acta Automatica Sinica , Vol.23, No.1, 1997, 24-29, (China).
  9. Wen Yu and T.Y.Chai, Adaptive Control for a Class of Stochastic Multivariable System with Input Constraints, Journal of Control and Computers, Vol.23, No.3, 575-580, , 1995
  10. Wen Yu, Xiaoou Li, Chemical process identification with multiple neural networks, International Journal of Computational Engineering Science, Vol.3, No.4,385-407, 2002.
  11. Wen Yu, América Morales, Gasoline blending system modeling via static and dynamic neural networks, International Journal of Modelling and Simulation, Vol.24, No.3, 151-160, 2004
  12. A.S. Poznyak, W.Yu, T.I. Poznyak, and K. Najim, Simultaneous states and parameters estimation of an ozonation reactor based on dynamic neural network, Differential equations and Dynamical Systems, Vol. 12, No.1, 195-221, 2004.
  13. Moisés Bonilla, Juan José Cordova and Wen Yu, Fourier expansion of the transmitivity coefficient, Acta Horticulturae, Vol.718, pp. 291-297, 2006
  14. Marco A. Moreno, Wen Yu and Alexander S.Poznyak, Control adaptable indirecto usando redes neuronales dinámicas, Revista del Centro de Investigación, Universidad La Salle, Vol.4, No.16, 2001, 13-32, (Mexico)
  15. Wen Yu, Passivity Analysis for Dynamic Neuro Identifier, Computación y Sistems, special issue of CONACyT, No.3, 2002, 83-91, (Mexico).
  16. Rigoberto Toxqui and Wen Yu, Xiaoou Li, Stable antiswing PD control for overhead crane systems with velocity estimation and uncertainties compensation, Int. J. Automation and Control, Vol. 1, No. 4, 326-341, 2007
  17. Julio César Tovar, Wen Yu, Nonlinear System Modeling via On-line Clustering and Fuzzy Support Vector Machines, International Journal of Modelling, Identification and Control, Vol.4, No.2, 1-11, 2008.
  18. Wen Yu, América Morales, Guillermo Fernandez, Robust chaotic communication via high gain observer, International Journal of Systems, Control and Communications, Vol.1, No.2, 179-192, 2008.
  19. Z.Wang, H.Zhang, W.Yu, Q.Zhang, An LMI Approach to Robust Stability Analysis of Cohen-Grossberg Neural Networks with Time Varying Delay, ACTA Electronica Sinica, Vol.36, No.11, 1221-1227, 2008
  20. Hua-Guang Zhang, Tie-Dong, Ma, Wen Yu, Jie Fu, A practical approach to robust impulsive lag synchronization between different chaotic systems, Chinese Physics B (formerly Chinese Physics), Vol.17 No.10, 3616-3622, 2008
  21. Hua-Guang Zhang, Zhao Yan, Wen Yu, Yang Dong-Sheng, A unified approach to fuzzy modelling and robust synchronization of different hyperchaotic systems, Chinese Physics B (formerly Chinese Physics), Vol.17 No.11, 4056-4067, 2008
  22. Marco A. Moreno-Armendariz, Wen Yu, A new fuzzy visual servoing with application to robot manipulator, International Journal of Advanced Mechatronic Systems, Vol.1, No.3, 157-167, 2009
  23. Roberto Carmona and Wen Yu, Robust Adaptive Control via Neural Linearization and Compensation, Journal of Control Science and Engineering, Vol.2012, Article ID 867178, doi:10.1155/2012/867178, 2012.
  24. Jian Tang, Tianyou Chai, Wen Yu, Lijie Zhao, On-line KPLS Algorithm with Application to Ensemble Modeling Parameters of Mill Load, ACTA Automatica Sinica, Vol.39, No.12, 1-16, 2012
  25. Sina Razvarz, Raheleh Jafari, Wen Yu, Numerical Solution of Fuzzy Differential Equations with Z-numbers using Fuzzy Sumudu Transforms, Advances in Science, Technology and Engineering Systems Journal, Vol. 3 No. 1, 66-75, 2018
  26. Jorge Morales, Wen Yu, Luciano Telesca, Bayesian Analysis of the Magnitude of Earthquakes Located in a Seismic Region of Italy, MDPI Proceeding, Vol.24(1), doi:10.3390/IECG2019-06214, 2019
  27. Jesús González, Wen Yu, Luciano Telesca, Earthquake Magnitude Prediction Using Recurrent Neural Networks, MDPI Proceeding, Vol. 24(22) doi:10.3390/IECG2019-06213, 2019
  28. Salvador Ortiz and Wen Yu, Autonomous Navigation in Unknown Environment Using Sliding Mode SLAM and Genetic Algorithm, Intelligence & Robotics, Vol. 1 No. 2, 116-135, 2021
International Conferences
  1. Wen Yu and T.Y. Chai , Self-tuning Feedforwad PID Controller, 33rd IEEE Conf. Decision and Control (CDC94), USA , 2199-2200,1994
  2. Wen Yu and T.Y. Chai , Stochastic Self-tuning Control with Input Constraint, 3rd European Control Conference (ECC95), 459-462 , Italy, 1995
  3. Wen Yu, T.Y. Chai and Yi Yuan, Centrifuge Rotor Adaptive Control Using Support Stiffness Change and Decreased Vibration Force Technique, 13th IFAC World Congress, IFAC96, 469-474, San Francisco USA, 1996
  4. Wen Yu and Guijun Zhang, Modelling and Controller Design for 2.4m Injector Powered Transonic Wind Tunnel, 16th American Control Conferences (ACC97), USA, 1544-1545, 1997
  5. Alexander S. Poznyak, Edgar N.Sanchez and Wen Yu, Nonlinear Adaptive Trajectory Tracking Using Dynamic Neural Networks, 16th American Control Conferences (ACC97), USA, 1997
  6. Wen Yu, M.De la Sen and Alexander S. Poznyak, A New Model Reference Adaptive Control with Arbitrary Nonlinear Inputs, 4th European Control Conference (ECC97), Belgium, 1997
  7. Alexander S. Poznyak and Wen Yu, Robust Observers for Nonlinear Systems with Mixed Uncertainties, IASTED Control 97, Cancun Mexico, 1997
  8. Alexander S. Poznyak, Edgar N.Sanchez and Wen Yu, Dynamic Neural Control: Stability Analysis, 2nd International Conference on Neural Networks and Neurocontrol, Cancun Mexico, 1997
  9. Wen Yu, Alexander S. Poznyak and Edgar N.Sanchez, Neurocontrol with Sliding Mode Compensation, 5th International Workshop on Variable Structure Systems, Sarasota USA , 1998
  10. Wen Yu, Alexander S. Poznyak and Edgar N.Sanchez, Neurocontrol of Robot Manipulator with Unmodeled Dynamic Compensation, International Symposium on Robotics and Automation (ISRA'98), Saltillo Mexico, 1998
  11. Wen Yu, Alexander S. Poznyak and Edgar N.Sanchez, Neural Adaptive Control with Unmodelled Dyanmic Compensation, 14th IFAC World Congress, Beijing China, 1999
  12. Wen Yu, Alexander S. Poznyak and Jaime Alvarez, Neuro Control for Multicomponent Column, 14th IFAC World Congress, Beijing China , 1999
  13. Alexander S. Poznyak, Wen Yu and T.I.Poznyak, Identification of Multicomponent Nonstationary Chemical Processes Using Dynamic Neural Networks, 14th IFAC World Congress, Beijing China , 1999
  14. Wen Yu, Alexander S. Poznyak and Edgar N.Sanchez, Neural Adaptive Control of Two-Link Manipulator via Dynamic Neural Network, 18th American Control Conferences, 2516-2520, San Diego USA, 1999
  15. Wen Yu, Alexander S. Poznyak and Edgar N.Sanchez, Neural Adaptive Control of Two-Link Manipulator with Sliding Mode, IEEE International Conference on Robotics and Automation (ICRA99), Detroit USA , Vol.4, 3122-3127, 1999
  16. Wen Yu, Alexander S. Poznyak and Jaime Alvarez, Robust Adaptive Control for Multicomponent Column via Dyanmic Neural Network, 5th European Control Conference (ECC99), Dusseldorf Germany, 1999
  17. Wen Yu and M.De la Sen, Adaptive Control of Arbitrary Nonlinear Inputs with Feedforward Compensation, 5th European Control Conference (ECC99), Dusseldorf Germany, 1999
  18. Rafael Castro, Wen Yu, Alexander S. Poznyak, Passivity Feedback Equivalence of Nonlinear Systems via Neural Network Approximation, 5th European Control Conference (ECC99), Dusseldorf Germany, 1999
  19. Wen Yu and Alexander S. Poznyak, System identification with partial-state measurement via dynamic multilayer neural network, Internal Joint Conference on Neural Networks (IJCNN99), Washington USA, Vol.3, 2081-2086, 1999
  20. Antonio Heredia and Wen Yu, A Modified PD Control of Robot Manipulator Using Neural Network Compensator, Internal Joint Conference on Neural Networks (IJCNN99), Washington USA, Vol.4, 1999-2004, 1999
  21. Edgar N.Sanchez, Alexander S. Poznyak and Wen Yu, Dynamic multilayer neural network for nonlinear system identification, Internal Joint Conference on Neural Networks (IJCNN99), Washington USA, Vol.3, 2109-2113, 1999
  22. Marco Antonio and Wen Yu, Nonlinear benchmark system identification with partial states measurement, 38th IEEE Conference on Decision and Control (CDC99), Phoenix, USA, 1077-1082, 1999
  23. Wen Yu, Alexander S. Poznyak and Edgar N.Sanchez , Dynamic Multilayer Neural Networks for Nonlinear System On-line Identification, 2000 IEEE International Symposium on Intelligent Control, Rio, Greece, 2000
  24. Alexander S. Poznyak, Edgar N.Sanchez, Orlando Palma and Wen Yu, Robust Asymptotic Observer with Time Delay, 2000 IEEE International Symposium on Intelligent Control, Rio, Greece, 19-24, 2000
  25. Wen Yu and Xiaoou Li, Passive Properties of Dynamic Neural Networks, 19th American Control Conference (ACC00), Chicago USA, 1445-1449, 2000
  26. Antonio Heredia and Wen Yu, A High-gain Observer Based PD Control for Robot Manipulator, 19th American Control Conference (ACC00), Chicago USA, 2518-2522, 2000
  27. Wen Yu and Antonio Heredia, PD Control of Robot with RBF networks Compensation, Internal Joint Conference on Neural Networks (IJCNN00), Como, Italy, Vol.5, 329-334, 2000
  28. Wen Yu and Xiaoou Li, Passive Properties of Neuro Identifier, 39th IEEE Conference on Decision and Control (CDC00), Sydney, Australia, , 2000
  29. Alexander S. Poznyak, Edgar N.Sanchez, Orlando Palma and Wen Yu, Output Trajectory Tracking Using Dynamic Neural Networks, 39th IEEE Conference on Decision and Control (CDC00), Sydney, Australia, 889-894, 2000
  30. Wen Yu and Marco A.Moreno, Stability Analysis of 3-D Visual Servoing, 2nd International Symposium on Robotics and Automation (ISRA00), Mexico, 313-317, 2000
  31. Xiaoou Li and Wen Yu, Robust Black-Box Identification via Dynamic Neural Networks, 2nd International Symposium on Robotics and Automation (ISRA00), Mexico, 449-454, 2000
  32. Marco A.Moreno, Wen Yu and Alexander S. Poznyak, Stable 3-D Visual Servoing: An Experimental Comparison, 2001 IEEE Conference on Control Applications (CCA01), Mexico City, Mexico, 2001
  33. Xiaoou Li and Wen Yu, Object Oriented Fuzzy Petri Net for Complex Knowledge System Modeling, 2001 IEEE Conference on Control Applications (CCA01), Mexico City, Mexico, 2001
  34. Gerardo Loreto, Wen Yu and Ruben Garrido, Stable Visual Servoing with Neural Networks Compensation, 2001 IEEE International Symposium on Intelligent Control (ISIC01), Mexico City, Mexico, 2001
  35. Wen Yu and Francisco J. Pineda, Chemical Process Modeling with Multiple Neural Networks, 6th European Control Conference (ECC01), Porto, Portugal, 2001
  36. Wen Yu and Xiaoou Li, PD Control of Robot with Velocity Estimation and Uncertainties Compensation, 40th IEEE Conference on Decision and Control (CDC01), Orlando, USA, 2001
  37. Wen Yu, Robust Black-Box Identification with Discrete-Time Neural Networks, 15th IFAC World Congress, Barcelona Spain, 2002
  38. Xiaoou Li, Wen Yu, Sergio Perez, Adaptive Fuzzy Petri Nets for Supervisory Hybrid Systems Modeling, 15th IFAC World Congress, Barcelona Spain, 2002.
  39. Wen Yu and Xiaoou Li, Adaptive control with multiple neural networks, 2002 American Control Conferences (ACC02), Anchorage Alaska, USA, 2002
  40. Wen Yu and Xianping Guo, Minimax controller design for discrete-time time-varying stochastic systems, 41st IEEE Conference onDecision and Control (CDC02), Las Vegas, Nevada, USA, 2002.
  41. Wen Yu, Stability analysis of dynamic multilayer neuro identifier, 41st IEEE Conference onDecision and Control (CDC02), Las Vegas, Nevada, USA, 2002
  42. Alejandro Cruz Sandoval and Wen Yu, Input-to-State Stability Approach to Discrete-Time Neural Networks, International Symposium on Robotics and Automation (ISRA02), Toluca, Mexico, 2002.
  43. Wen Yu and Xiaoou Li, Stable Fuzzy Identification Using Recurrent Fuzzy Neural Network, IASTED International Conference on Neural Networks and Computational Intelligence, Cancun, Mexico,118-123, 2003
  44. Wen Yu and Xiaoou Li, Fuzzy neural modeling using stable learning algorithm, 22nd American Control Conferences (ACC03), Denver, Colorado USA, 4542-4548, 2003
  45. Wen Yu and Xiaoou Li, Discrete-time nonlinear system identification using recurrent neural networks, 42nd IEEE Conference on Decision and Control (CDC03), Maui, Hawaii, USA, 3996-4001, 2003.
  46. Wen Yu and Xiaoou Li, Visual Servoing with Velocity Observer and Neural Compensation, 2004 IEEE International Symposium on Intelligent Control, Taipei, Taiwan, 454-459, 2004.
  47. Wen Yu and Xiaoou Li, System Identification Using Adjustable RBF Neural Network with Stable Learning Algorithms, Advances in Neural Networks -ISNN 2004, Srpinger-Verlgag, Lecture Notes in Computer Science, Vol.3174, 212-217, 2004
  48. Wen Yu, Marco A. Moreno-Armendariz, E. Gómez-Ramírez, Modelling of Gasoline Blending via Discrete-Time Neural Networks, Internal Joint Conference on Neural Networks (IJCNN04), Budapest, Hungary, 1291-1296, 2004
  49. Xiaoou Li and Wen Yu, Robust Adaptive Control Using Neural Networks and Projection, Advances in Neural Networks -ISNN 2004, Srpinger-Verlgag, Lecture Notes in Computer Science, Vol.3174, 77-82, 2004
  50. Floriberto Ortiz Rodríguez, Wen Yu, Roberto Lagunes Feregrino, José de Jesus Mesa Serrano, Stable PD Control for Ball and Beam System, 2004 International Symposium on Robotics and Automation, Querétaro, México, 333-338, 2004
  51. José de Jesús Rubio and Wen Yu, Sensitivity Analysis of Crude Oil Blending with Neural Networks, 2004 International Symposium on Robotics and Automation, Querétaro, México, 26-31, 2004
  52. Andrés Ferreyra and Wen Yu, On-line fuzzy neural modeling with structure and parameters updating, 2004 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, Boston, USA, 127-130, 2004
  53. Wen Yu, José de Jesús Rubio and América Morales, Optimization of Crude Oil Blending with Neural Networks, 43rd IEEE Conference on Decision and Control, CDC'04, Paradise Island, Bahamas, 4903-4908, 2004
  54. Wen Yu and Andrés Ferreyra, System Identification with State-Space Recurrent Fuzzy Neural Networks, 43rd IEEE Conference on Decision and Control (CDC04), Paradise Island, Bahamas, 5106-5111, 2004.
  55. José de Jesús Rubio and Wen Yu, Modelling of crude oil blending via discrete-time neural networks, International Conference on Electrical and Electronics Engineering , Acapulco, México, 427-432, 2004
  56. Marco A.Moreno-Armendariz, Wen Yu, A new fuzzy visual servoing with application to robot manipulator, 24th American Control Conferences, ACC'05, Portland, OR, USA, 3688-3693, 2005.
  57. Wen Yu and Andrés Ferreyra, On-line clustering for nonlinear system identification using fuzzy neural networks, 2005 IEEE International Conference on Fuzzy Systems, 678-683, Reno, USA, 2005.
  58. Wen Yu, José de Jesús Rubi, Xiaoou Li, Recurrent Neural Networks Training with Stable Risk-Sensitive Kalman Filter Algorithm, 2005 International Joint Conference on Neural Networks, IJCNN'05, Montreal, Canada, 700-705, 2005
  59. Wen Yu, América Morales, Neural modeling for crude oil blending, 16th IFAC World Congress, Prague, Czech Republic, 2005
  60. Wen Yu and Xiaoou Li, Continuous-time recurrent multilayer perceptrons for nonlinear system identification, IEEE Conference on Control Applications (CCA05), Toronto, Canada, 1636-1641, 2005
  61. Wen Yu and Floriberto Ortiz, Stability analysis of PD regulation for ball and beam system, IEEE Conference on Control Applications (CCA05), Toronto, Canada, 517-522, 2005
  62. Marco A. Moreno-Armendariz and Wen Yu, Novel Learning Algorithms for Hierarchical Fuzzy Neural Networks, International Seminar on Computational Intelligence 2005,Mexico D.F , Mexico, 167-175, 2005
  63. Wen Yu and Marco A. Moreno-Armendariz, System identification using hierarchical fuzzy neural networks with stable learning algorithms,44th IEEE Conference on Decision and Control, CDC'05, Seville, Spain, 4089-4094, 2005
  64. José de Jesús Rubio and Wen Yu, Dead-zone Kalman filter algorithm for recurrent neural networks,44th IEEE Conference on Decision and Control, CDC'05, Seville, Spain, 2562-2567, 2005.
  65. José de Jesús Rubio, Wen Yu, Andrés Ferreyra, A new discrete-time sliding-mode control with neural identification, 25th American Control Conferences, ACC'06, Minneapolis, Minnesota, USA, 5413-5418, 2006.
  66. José de Jesús Rubio, Wen Yu, Discrete-Time Sliding-Mode Control Based on Neural Networks, Advances in Neural Networks -ISNN 2006, Srpinger-Verlgag, Lecture Notes in Computer Science, LNCS 3972, 956-961, 2006
  67. Rigoberto Toxqui Toxqui, Wen Yu, and Xiaoou Li, PD Control of Overhead Crane Systems with Neural Compensation, Advances in Neural Networks -ISNN 2006, Srpinger-Verlgag, Lecture Notes in Computer Science, LNCS 3972, 1110-1115, 2006
  68. Alejandro Cruz Sandoval, Wen Yu, Passivity Analysis of Dynamic Neural Networks with Different Time-Scales, Advances in Neural Networks -ISNN 2006, Srpinger-Verlgag, Lecture Notes in Computer Science, LNCS 3971, 86-92, 2006
  69. Marco A. Moreno-Armendariz, Giovanni Egidio Pazienza, Wen Yu, Training Cellular Neural Networks with Stable Learning Algorithm, Advances in Neural Networks -ISNN 2006, Srpinger-Verlgag, Lecture Notes in Computer Science, LNCS 3971, 558-563, 2006
  70. José de Jesús Rubio, Wen Yu, Xiaoou Li, Time-Delay Nonlinear System Modelling via Delayed Neural Networks, 6th World Congress on Control and Automation, Dalian, China, 119-123, 2006
  71. Rigoberto Toxqui Toxqui, Wen Yu, and Xiaoou Li, PD Control of Overhead Crane with Velocity Estimation and Uncertainties Compensation, 6th World Congress on Control and Automation, Dalian, China, 139-143, 2006
  72. Jair Cervantes Canales, Xiaoou Li, Wen Yu, Fuzzy Knowledge Learning via Adaptive Fuzzy Petri Net with Triangular Function Model, 6th World Congress on Control and Automation, Dalian, China, 4249-4253, 2006
  73. Wen Yu, Xiaoou Li, Fuzzy neural identification by online clustering with application on crude oil blending, 2006 IEEE International Conference on Fuzzy Systems, Vancouver, Canada, 865-872, 2006
  74. Alejandro Cruz Sandoval, Wen Yu, Xiaoou Li, Some stability properties of dynamic neural networks with different time-scales, 2006 International Joint Conference on Neural Networks, IJCNN06, Vancouver, Canada, 8334-8340, 2006
  75. Rigoberto Toxqui Toxqui, Wen Yu, Xiaoou Li, Anti-swing control for overhead crane with neural compensation, 2006 International Joint Conference on Neural Networks, IJCNN'06, Vancouver, Canada, 9447-9453, 2006
  76. Juan Angel Resendiz-Trejo,Wen Yu, Xiaoou Li, Support Vector Machine for Nonlinear System On-line Identification, 3rd International Conference on Electrical and Electronics, Veracruz, Mexico, 227-230, 2006
  77. Rafael Martínez-Guerra, Enrique Cisneros-Saldaña and Wen Yu, A New Model-Free Sliding Observer to Synchronization Problem, 3rd International Conference on Electrical and Electronics, Veracruz, Mexico, 214-217, 2006
  78. Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moreno-Armendariz, Sysetm identification using hierarchical fuzzy CMAC neural networks, Computational Intelligence-ICIC2006, Srpinger-Verlgag, Lecture Notes in Computer Science, LNAI 4114, 230-235, 2006
  79. Alejandro Cruz Sandoval, Wen Yu, Xiaoou Li, Passivity Analysis for Neuro Identifier with Different Time-Scales, Computational Intelligence-ICIC2006, Srpinger-Verlgag, Lecture Notes in Computer Science, LNAI 4114, 428-433, 2006
  80. Jair Cervantes, Xiaoou Li and Wen Yu, Support Vector Machine Classification Based on Fuzzy Clustering for Large Data Sets , MICAI 2006: Advances in Artificial Intelligence, Srpinger-Verlgag, Lecture Notes in Computer Science (LNCS), vol. 4293, 572-582, 2006
  81. Floriberto Ortiz, Wen Yu, Marco Moreno-Armendariz, Xiaoou Li, Recurrent Fuzzy CMAC for Nonlinear System Modeling, Advances in Neural Networks -ISNN 2007, Srpinger-Verlgag, Lecture Notes in Computer Science, LNCS 4491, 487-495, 2007
  82. Jose de Jesus Rubio, Wen Yu, Neural Networks Training with Optimal Bounded Ellipsoid Algorithm, Advances in Neural Networks -ISNN 2007, Srpinger-Verlgag, Lecture Notes in Computer Science, LNCS 4491, 1173-1182, 2007
  83. Kang Li, Jian-Xun Peng, Minrui Fei, Xiaoou Li, and Wen Yu, Integrated Analytic Framework for Neural Network Construction, Advances in Neural Networks -ISNN 2007, Srpinger-Verlgag, Lecture Notes in Computer Science, LNCS 4492, 483-492, 2007
  84. Floriberto Ortiz Rodriguez, Wen Yu, Marco A.Moreno-Armendariz, Recurrent fuzzy CMAC in hierarchical form for dynamic system identification,2007 American Control Conferences, ACC07, New York, USA, 5706-5711, 2007.
  85. José de Jesús Rubio and Wen Yu, Recurrent neural networks training with optimal bounded ellipsoid algorithm, 2007 American Control Conferences, ACC07, New York, USA, 4768-4773, 2007.
  86. Yi Zhou, Meng Joo Er and Yu Wen, A Hybrid Approach for Automatic Generation of Fuzzy Inference Systems without Supervised Learning, 2007 American Control Conferences, ACC07, New York, USA, 3371-3376, 2007.
  87. Julio César Tovar, Wen Yu, Xiaoou Li, Fuzzy Modeling via On-line Clustering and Support Vector Machine, Advances Intelligent Coputing Theories and Applications, Srpinger-Verlgag, Communications in Computer and Information Science, CCIS 2, 294-303, 2007
  88. Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moreno-Armendariz, Nonlinear systems identification via two types of recurrent fuzzy CMAC, 2007 International Joint Conference on Neural Networks, IJCNN07, Orlando, USA, 2007
  89. Saúl Jiménez Zavala, Wen Yu, Stable synchronization control for two ball and beam systems, 4th International Conference on Electrical and Electronics, Mexico City, Mexico, 290-293, 2007
  90. Jair Cervantes, Xiaoou Li, Wen Yu, Multi-class support vector machines for large data sets via minimum enclosing ball clustering, 4th International Conference on Electrical and Electronics, Mexico City, Mexico, 146-149, 2007
  91. Xiaoou Li, Wen Yu, Neural identification based on sliding mode observer, 16th IEEE Conference on Control Applications, CCA08, Singapore, 1-6, 2007
  92. Julio César Tovar, Wen Yu, Fuzzy neural modeling via clustering and support vector machines, 16th IEEE Conference on Control Applications, CCA08, Singapore, 24-30, 2007
  93. Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moreno-Armendariz, Anti-swing control with hierarchical fuzzy CMAC compensation for an overhead crane, 22nd IEEE International Symposium on Intelligent Control, ISIC08, Singapore, 333-339, 2007
  94. Wen Yu, Xiaoou Li, Recurrent fuzzy neural networks for nonlinear system identification, 22nd IEEE International Symposium on Intelligent Control, ISIC07, Singapore, 590-596, 2007
  95. Xiaoou Li, Jair Cervantes, and Wen Yu, Two-Stage SVM Classification for Large Data Sets via Randomly Reducing and Recovering Training Data, 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC07, Montreal, Canada, 3633-3638, 2007
  96. Floriberto Ortiz, Wen Yu, Marco Moreno-Armendariz, Adaptive hierarchical fuzzy CMAC controller with stable learning algorithm for unknown nonlinear systems,6th Mexican International Conference on Artifical Intelligent (MICAI 2007), Aguascalientes, Mexico, 294-304, 2007
  97. Jair Cervantes,Xiaoou Li, and Wen Yu, SVM Classification for Large Data Sets by Considering Models of Classes Distribution,6th Mexican International Conference on Artifical Intelligent (MICAI 2007), Aguascalientes, Mexico, 51-60, 2007
  98. Wen Yu,Robust adaptive control via neural linearization and four types of compensation, 2008 International Joint Conference on Neural Networks, IJCNN'08, Hong Kong, China, 1808-1814, 2008
  99. Julio César Tovar, Wen Yu, Automated fuzzy neural networks for nonlinear system identification, 2008 IEEE International Conference on Fuzzy Systems, Fuzzy'08, Hong Kong, China, 1159-1165, 2008
  100. Fenghua Wu, Tianyou Chai, Wen Yu, Fuzzy mechanistic model with neural compensation for Estimation of shaft furnace’s product quality, 17th IFAC World Congress, Seoul, Korea, 7040-7045, 2008
  101. Wenjun Jia, Tianyou Chai, Wen Yu, A novel hybrid neural network for modeling rare-earth extraction process, 17th IFAC World Congress, Seoul, Korea, 11427-11432, 2008
  102. Qiumei Cong, Tianyou Chai, Wen Yu, Cascade Process Modeling with Mechanism-Based Hierarchical Neural Networks, 17th IFAC World Congress, Seoul, Korea, 5563-5568, 2008
  103. Saul Jimenez Zavala, Wen Yu, Xiaoou Li, Synchronization of two ball and beam systems with neural compensation, 17th IFAC World Congress, Seoul, Korea, 12781-12786, 2008
  104. Jair Cervantes,Xiaoou Li, and Wen Yu, Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution, 2008 International Conference on Data Mining, Las Vegas, USA, 2008
  105. Julio César Tovar, Wen Yu, On-Line Modeling via Fuzzy Support Vector Machines, MICAI 2008: Advances in Artificial Intelligence, Srpinger-Verlgag, Lecture Notes in Computer Science, LNCS 5317, 220-229, 2008
  106. Juan Resendiz, Wen Yu and Leonid Fridman, Discrete time sliding mode neural observer for continuous time mechanical systems, 47th IEEE Conference on Decision and Control, CDC08, Cancun, Mexico, 2838-2848, 2008.
  107. Wen Yu and Xiaoou Li, Neural Sliding Mode Control with Finite Time Convergence, 2009 International Joint Conference on Neural Networks, IJCNN09, Atlanta, USA, 3464-3470, 2009
  108. Juan Jose Cordova and Wen Yu, Stable Fourier Neural Networks with Application to Modeling Lettuce Growth, 2009 International Joint Conference on Neural Networks, IJCNN09, Atlanta, USA, 591-596, 2009
  109. Qiumei Cong, Wen Yu, and Tianyou Chai, Hierarchical Neural Network Model for Water Quality Prediction in Wastewater Treatment Plants, 2nd International Workshop on Advanced Computational Intelligence, IWACI09, Mexico City, Mexico, 155-166, 2009
  110. Jair Cervantes, Xiaoou Li, and Wen Yu, Splice Site Detection in DNA Sequences Using a Fast Classification Algorithm, 2009 IEEE International Conference on Systems, Man, and Cybernetics, SMC09, San Antonio, USA, 2762-2767, 2009
  111. Jian Tang, Lijie Zhao, Wen Yu, Heng Yue, and Tianyou Chai, Soft Sensor Modeling of Ball Mill Load via Principal Component Analysis and Support Vector Machines, Advances in Neural Network Research and Applications, Springer-Verlgag, Lecture Notes in Electrical Engineering, LNEE 67, 803-810, 2010
  112. Cruz Vega Israel and Wen Yu, Nonlinear System Modeling with a New Fuzzy Model and Neural Compensation, Advances in Neural Network Research and Applications, Springer-Verlgag, Lecture Notes in Electrical Engineering, LNEE 67, 117-127, 2010
  113. Xiaoou Li, Wen Yu, Neural modeling with automatic structure selection, 11th IEEE International Conference on Information Reuse and Integration (IRI 2010), Las Vegas, USA, 314-317, 2010
  114. Cruz Vega Israel and Wen Yu, Multiple fuzzy neural networks modeling on sparse data based on a nonparametric regression technique, 2010 IEEE International Conference on Information Reuse and Integration (IRI 2010), Las Vegas, USA, 304-307, 2010
  115. Wen Yu, Xiaoou Li, Anti-Swing Control for an Overhead Crane with Intelligent Compensation, 3rd International Symposium on Resilient Control Systems, Idaho Falls, USA, 85-90, 2010
  116. Xiaoou Li, Jair Cervantes, Wen Yu, A Novel SVM Classification Method for Large Data Sets, 2010 IEEE Conference on Granular Computing (GrC10), San Jose, USA, 297-302, 2010
  117. Wei Wang, Lijie Zhao, Tianyou Chai and Wen Yu, Estimation of Component Concentrations of Sodium Aluminate Solution via PLS and Hammerstein Recurrent Neural Networks, 3rd International Workshop on Advanced Computational Intelligence, SuZhou, China, 107-111, 2010
  118. Jian Tang, Wen Yu, Lijie Zhao, Heng Yue and Tianyou Chai, Modeling of Operating Parameters for Wet Ball Mill by Modified GA-KPLS, 3rd International Workshop on Advanced Computational Intelligence, SuZhou, China, 107-111, 2010
  119. Xiaoou Li, Wen Yu , Neural sliding mode control for magnetic levitation systems, 2010 IEEE Conference on Control Applications (CCA10), Yokohama, Japan, 615-619, 2010,
  120. Wen Yu, Xiaoou Li, Discrete-time neural control without projection for a class of nonlinear systems, 2010 IEEE International Symposium on Intelligent Control (ISIC10), Yokohama, Japan, 1504-1508, 2010
  121. Cruz Vega Israel, Wen Yu, Juan Jose Cordova, Multiple Fuzzy Neural Networks Modeling with Sparse Data, 2010 IEEE International Conference on Fuzzy Systems, Fuzzy'10, Bacelona, Spain, 2010
  122. Juan Jose Cordova, Wen Yu, Recurrent Wavelets Neural Networks Learning via Dead Zone Kalman Filter, 2010 International Joint Conference on Neural Networks (IJCNN10), Bacelona, Spain, 2010
  123. Wen Yu and Jacob Rosen, A Novel Linear PID Controller for an Upper Limb Exoskeleton, 49th IEEE Conference on Decision and Control (CDC10), Atlanta, USA, 3548-3553, 2010.
  124. Jian Tang, Wen Yu ,Lijie Zhao, Heng Yue, Tianyou Chai, On-line Soft Sensor Based on RPCA and LSSVR for Mill Load Parameters , 2010 International Conference on Progress in Informatics and Computing, Shanghai, China, 598 - 602, 2010
  125. Jian Tang, Wen Yu, Lijie Zhao, Heng Yue, Tianyou Chai, Modelling of Mill Load for Wet Ball Mill via GA and SVM Based on Spectral Feature , IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2010) , Liverpool, UK, 874-879, 2010
  126. A.Lopez Chau, X.Li; W.Yu, J.Cervantes, Support vector candidates pre selection strategy based on non convex hulls, 7th International Conference on Electrical Engineering Computing Science and Automatic Control (CCE10), 345-350,Tuxtla Gutierrez, Mexico, 2010
  127. Wen Yu, Jacob Rosen, Xiaoou Li, PID Admittance Control for an Upper Limb Exoskeleton, 2011 American Control Conference (ACC11), San Francisco, USA, 1124-1129, 2011
  128. Debbie Hernandez, Wen Yu,Marco A. Moreno-Armendariz, Neural PD control with second-order sliding mode compensation for robot manipulators, 2011 International Joint Conference on Neural Networks (IJCNN11), San Jose, USA, 2395-2402, 2011
  129. Juan Jose Cordova, Wen Yu, Optimization of Fixed Wavelet Neural Networks, 2011 International Joint Conference on Neural Networks (IJCNN11), San Jose, USA, 3003-3007, 2011
  130. Jian Tang, Tianyou Chai, Lijie Zhao, Wen Yu, Feature Extraction and Selection Based on Vibration Spectrum with Application to Mill Load Modeling, 4th International Symposium on Advanced Control of Industrial Processes, Hangzhou, China, 266-271, 2011
  131. Jian Tang, Lijie Zhao, Wen Yu, Tianyou Chai, Spectral Kernel Principal Component Selection Based on Empirical Mode Decomposition and Genetic Algorithm for Modeling Parameters of Ball Mill Load , 4th International Conference on Intelligent Computation Technology and Automation, Shenzhen, China, 932-935, 2011
  132. Jian Tang, Tianyou Chai, Wen Yu, Lijie Zhao, S. Joe Qin, KPCA Based Multi-Spectral Segments Feature Extraction and GA Based Combinatorial Optimization for Frequency Spectrum Data Modeling, 50th IEEE Conference on Decision and Control (CDC11), Orlando, USA, 5193-5198, 2011.
  133. Julio César Tovar, Wen Yu, Floriberto Ortiz, Carlos Román Mariaca, José de Jesús Rubio, Modeling via on-line clustering and fuzzy support vector machines for nonlinear system, 50th IEEE Conference on Decision and Control (CDC11), Orlando, USA, 8267-8272, 2011.
  134. Xiaoou Li, Wen Yu, A Systematic Tunning Method of PID Controller for Robot Manipulators, 9th IEEE International Conference on Control & Automation (ICCA11), Santiago, Chile, 274-279, 2011
  135. Xiaoou Li, Wen Yu, Modeling and Neuro Control for Multicomponent Nonideal Distillation Column, 9th IEEE International Conference on Control & Automation (ICCA11), Santiago, Chile, 979-984, 2011
  136. Sergio Galvan Colmenares, Marco A. Moreno-Armendáriz, Wen Yu, Cesar Áaron Perez Olvera, Floriberto Ortiz Rodriguez, Modeling and Nonlinear PD regulation for Ball and Plate System, World Automation Congress 2012, Puerto Vallarta, Mexico, June 24th - 28th, 2012
  137. Roberto Carmona, Yu, Wen, PID control for robot manipulators with neural compensation, 2012 World Automation Congress, Puerto Vallarta, Mexico, June 24th - 28th, 2012
  138. Suresh Thenozhi and Wen Yu, A Novel Numerical Integrator for Structural Control and Monitoring, 2012 IEEE International Conference on Information Reuse and Integration (IRI 2012), Las Vegas, USA, 680-686, 2012
  139. Suresh Thenozhi and Wen Yu, A Novel Numerical Integrator for Structural Health Monitoring, 5th International Symposium on Resilient Control Systems (ISRCS 2012), Salt Lake City, USA, 92-97, 2012
  140. Juan Jose Cordova, Wen Yu, Xiaoou Li, Haar Wavelet Neural Networks for Nonlinear System Identification, 2012 IEEE International Symposium on Intelligent Control (ISIC12), Dubrovnik, Croatia, 276-281, 2012
  141. Debbie Hernandez,, Wen Yu, Xiaoou Li, Robot PD control with parallel/serial neural network and sliding mode compensations, IEEE Conference on Control Applications (CCA12), Dubrovnik, Croatia, 1148-1153, 2012
  142. Wen Yu, Xiaoou Li, Stable PID Control for Robot Manipulators with Neural Compensation, 51th IEEE Conference on Decision and Control (CDC12), Maui, Hawai, 5398-5404, 2012.
  143. Wen Yu, Roberto Carmona Rodriguez , Xiaoou Li, Neural PID Admittance Control of an Upper Limb Exoskeleton, 2013 American Control Conference (ACC13), Washington DC, USA, 4970-4976, 2013
  144. Francisco Panuncio Cruz, Wen Yu, Robust Feedback Passivity via Dynamic Neural Networks, 2013 International Joint Conference on Neural Networks (IJCNN13), Dallas, USA, 2744-2750, 2013
  145. Francisco Panuncio, Wen Yu, Xiaoou Li, Stable Neural PID Anti-Swing Control for an Overhead Crane, 2013 IEEE International Symposium on Intelligent Control (ISIC13), Hyderabad, India, 53-58, 2013
  146. Carlos Parga, Xiaoou Li, Wen Yu, Smartphone-based Human Machine Interface with Application to Remote Control of Robot Arm, 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC13), Manchester, UK, 2316-2321, 2013
  147. Jair Cervantes, Xiaoou Li, Wen Yu, Using Genetic Algorithm to Improve Classication Accuracy on Imbalanced Data, 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC13), Manchester, UK, 2659-2664, 2013
  148. Wen Yu, Xiaoou Li, Neural Passivity Control of Nonlinear Multivariable Systems, 2013 IEEE Conference on Decision and Control (CDC13), Florence, Italy, 6812-6817, 2013.
  149. Wen Yu, Xiaoou Li, Robust Observers for a Class of Uncertainty Nonlinear Systems, 2013 IEEE Conference on Decision and Control (CDC13), Florence, Italy, 5078-5083, 2013.
  150. Suresh Thenozhi, Wen Yu, Fuzzy Sliding Surface Control of Wind-Induced Vibration, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Beijing, China, 895-900, 2014
  151. Wen Yu, Xiaoou Li, Hybrid Neural Networks for Gasoline Blending System Modeling, 2014 International Joint Conference on Neural Networks (IJCNN), 2014, Beijing, China, 3272-3277, 2014
  152. Jian Tang, Wen Yu, Tianyou Chai, Zhuo Liu, Modeling Parameters of Mill Load Based on Dual Layer Selective Ensemble Learning Strategy, 11th World Congress on Intelligent Control and Automation, Shenyang, China, 916-921, 2014
  153. Wen Yu, Xiaoou Li, Robust Asymptotic Neuro Observer for Unknown Nonlinear Systems, 11th World Congress on Intelligent Control and Automation, Shenyang, China, 2115-2120, 2014
  154. Javier Garrido, Wen Yu, Alberto Soria, Modular Design and Modeling of an Upper Limb Exoskeleton, IEEE International Conference on Biomedical Robotics and Biomechatronics, Sao Paulo, Brazil, 508-513, 2014.
  155. Hipolito Aguilar-Sierra, Ricardo Lopez, Wen Yu, Sergio Salazar, Rogelio Lozano, A Lower Limb Exoskeleton with Hybrid Actuation, IEEE International Conference on Biomedical Robotics and Biomechatronics, Sao Paulo, Brazil, 695-700, 2014.
  156. Javier Garrido, Wen Yu, Trajectory Generation in Joint Space Using Modified Hidden Markov Model, 23rd IEEE International Symposium on Robot and Human Interactive Communication, Edinburgh, Scotland, UK, 429-434, 2014
  157. Wen Yu, Xiaoou Li, A Magnetic Levitation System for Advanced Control Education, 19th IFAC World Congress, Cape Town, South Africa, 9032-9037, 2014
  158. Wen Yu, Suresh Thenozhi, Xiaoou Li, Stable Active Vibration Control System for Building Structures using PD/PID Control, 19th IFAC World Congress, Cape Town, South Africa, 4760-4765, 2014
  159. David Luviano Cruz, Wen Yu, Multi-Agent Path Planning in Unknown Environment with Reinforcement Learning and Neural Network, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC14), San Diego, USA, 3469-3474, 2014
  160. Erik Zamora, Wen Yu, Novel Autonomous Navigation Algorithms in Dynamic and Unknown Environments, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC14), San Diego, USA, 1295-1300, 2014
  161. Erik Zamora, Wen Yu, Mobile Robot Navigation in Dynamic and Unknown Environments, 2014 IEEE International Conference on Control Applications (CCA14), Antibes, France, 1046-1051, 2014
  162. Erik Zamora, Wen Yu, Ellipsoid Method for Simultaneous Localization and Mapping of Mobile Robot, 53rd IEEE Conference on Decision and Control (CDC14), Los Angeles, USA, 5334-5339, 2014
  163. Xiaoou Li, Wen Yu, Data Stream Classification for Structural Health Monitoring via On-line Support Vector Machines, 2015 IEEE International Conference on Big Data Computing Service and Applications, San Francisco, USA, 400-405, 2015
  164. Salvador Villegas, Xiaoou Li, Wen Yu, Detection of Building Structure Damage with Support Vector Machine s, 12th IEEE International Conference on Networking, Sensing and Control, Taipei, Taiwan, 619-624, 2015
  165. Jian Tang, MeiYing Jia, Zhuo Liu, Tianyou Chai, Wen Yu, Modeling High Dimensional Frequency Spectral Data Based on Virtual Sample Generation Technique, 2015 IEEE International Conference on Information and Automation, Lijing, China, 1090-1095, 2015
  166. Erick de la Rosa, Wen Yu, Nonlinear System Identification Using Deep Learning and Randomized Algorithms, 2015 IEEE International Conference on Information and Automation, Lijing, China, 274-279, 2015
  167. Satyam Paul and Wen Yu, Advances in Bidirectional Modeling and Structural Control, 8th International Symposium on Resilient Control Systems, Philadelphia, USA, 23-28, 2015
  168. Raheleh Jafari and Wen Yu, Uncertainty Nonlinear Systems Control with Fuzzy Equations, 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC15), Hong Kong, China, 2885-2890, 2015
  169. Raheleh Jafari and Wen Yu, Uncertainty Nonlinear Systems Modeling with Fuzzy Equations, 16th IEEE International Conference on Information Reuse and Integration (IRI15), 182-187, San Fracisco, USA, 2015
  170. Erick de la Rosa, Wen Yu, Restricted Boltzmann machine for nonlinear system modeling, 14th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA'15), Miami, USA, 2015
  171. Raheleh Jafari and Wen Yu, Artificial Neural Network Approach for Solving Strongly Degenerate Parabolic and Burgers-Fisher Equations, 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE'15), Mexico City, Mexico, 2015
  172. Williams Pantoja, Xiaoou Li, Wen Yu, Bipedal Walking Control in Dynamic Environment Using Data Mining Techniques, 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE'15), Mexico City, Mexico, 2015
  173. David Luviano and Wen Yu, Path Planning in Unknown Environment with Kernel Smoothing and Reinforcement Learning for Multi-Agent Systems, 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE'15), Mexico City, Mexico, 2015
  174. Alejandro Rodriguez, Xiaoou Li, A 3-D Hand Rehabilitation System Using Haptic Device, 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE'15), Mexico City, Mexico, 2015
  175. Wen Yu, Xiaoou Li, Fuzzy Output Feedback Control via Sliding Mode Observer, 13th IEEE International Conference on Networking, Sensing, and Control (ICNSC16), Mexico City, Mexico, 2016
  176. Wen Yu, Xiaoou Li, Stability Analysis of Wireless Networked Control with Time-Varying Sampling Period, 13th IEEE International Conference on Networking, Sensing, and Control (ICNSC16), Mexico City, Mexico, 2016
  177. Wen Yu, Xiaoou Li, Daniel Munoz Carrillo, Hierarchical Dynamic Neural Networks for Cascade System Modeling with Application to Wastewater Treatment, International Joint Conference on Neural Networks (IJCNN16), Vancouver, Canada, 483-488, 2016
  178. Wen Yu, Jorge Cervantes, Sergio Salazar, T-S Fuzzy Control Based on Riccati Differential Equation, 2016 IEEE International Conference on Fuzzy Systems (FUZZY16), Vancouver, Canada, 691-696, 2016
  179. Edgar Garcia Avila, Wen Yu, Maarouf Saad, Jawhar Ghommam, Stable PID Tracking Control with Application to a 7-DoF Exoskeleton Robot, 13th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE16), Mexico City, Mexico, 2016
  180. Satyam Paul, Wen Yu, Stable Active Vibration Control of Building Structure Subjected to Bidirectional Earthquake, 13th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE16), Mexico City, Mexico, 2016
  181. Xiaoou Li, Zhaozhao Zhang , Wen Yu, Dynamic Feedforward Network Architecture Design Based on Information Entropy, 13th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE16), Mexico City, Mexico, 2016
  182. Raheleh Jafari and Wen Yu, Xiaoou Li, Solving Fuzzy Differential Equation with Bernstein Neural Networks, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC16), Budapest, Hungary, 1245-1250, 2016
  183. Erick De la Rosa, Wen Yu, Xiaoou Li , Nonlinear system modeling with deep neural networks and autoencoders algorithm, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC16), Budapest, Hungary, 2157-2162, 2016
  184. Satyam Paul and Wen Yu, Intelligent Techniques for Bidirectional Structural Health Monitoring, 5th International Conference on Mechatronics and Control Engineering (ICMCE16), Venice, Italy, 52-56, 2016
  185. Erick de la Rosa, Wen Yu, Humberto Sossa, Fuzzy Modeling from Black-Box Data with Deep Learning Techniques, 14th International Symposium on Neural Networks (ISNN 2017), Sapporo, Japan, Springer LNCS 10261, 304-312, 2017
  186. Adolfo Perrusquia, Wen Yu, Alberto Soria, Rogelio Lozano, Stable admittance control without inverse kinematics, 20th IFAC World Congress (IFAC17),Toulouse, France, 16402-16407, 2017
  187. Satyam Paul, Wen Yu, Bidirectional Fuzzy PD Control for Active Vibration Control of Building Structure, IEEE International Conference on Industrial Technology (ICIT 2017), Toronto, Canada, 749-754, 2017
  188. Raheleh Jafari, Wen Yu, Uncertain nonlinear system control with fuzzy differential equation and Z-numbers, IEEE International Conference on Industrial Technology (ICIT 2017), Toronto, Canada, 890-895, 2017
  189. Erick de la Rosa, Wen Yu, Xiaoou Li, Probability based fuzzy modeling, IEEE International Conference on Systems, Man, and Cybernetics (SMC17), Banff, Canada, 1633-1638, 2017
  190. Satyam Paul and Wen Yu, Type-2 fuzzy PID for active control of bidirectional structures, 14th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE17), Mexico City, Mexico, 2017
  191. Mario Lopez and Wen Yu, Nonlinear System Modeling using Convolutional Neural Networks, 14th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE17), Mexico City, Mexico, 2017
  192. Sina Razvarz, Raheleh Jafari and Wen Yu, PSO and NN Modeling for Photocatalytic Removal of Pollution in Wastewater, 14th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE17), Mexico City, Mexico, 2017
  193. Carlos Parga and Wen Yu, Design and Modeling of the Exoskeleton for Human Shoulder with Ball and Socket Joint, 14th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE17), Mexico City, Mexico, 2017
  194. Satyam Paul, Wen Yu, Raheleh Jafari, A method for bidirectional active vibration control of structure using discrete-time sliding mode, 2nd IFAC Conference on Modelling, Identification and Control of Nonlinear Systems (MICNON18), Guadalajara, Mexico, 361-366, 2018.
  195. Jesus Gonzalez, Wen Yu, Non-linear system modeling using LSTM neural networks, 2nd IFAC Conference on Modelling, Identification and Control of Nonlinear Systems (MICNON18), Guadalajara, Mexico, 485-490, 2018.
  196. Xiaoou Li, Wen Yu, Hybrid Fuzzy Petri Nets and Neural Networks Framework for Modeling Critical Infrastructure Systems, IEEE International Conference on Fuzzy Systems (FUZZY18), Rio de Janeiro, Brazil, 604-609, 2018
  197. Erick Garcia, Wen Yu, Xiaoou Li, A Haptic Bilateral Robots System for Wrist Rehabilitation after Stroke, 14th IEEE International Conference on Automation Science and Engineering (CASE18), Munich, Germany,130-135, 2018
  198. Salvador Ortiz, Wen Yu, Erik Zamora, Sliding mode SLAM for robust simultaneous localization and mapping, 44th Annual Conference of the IEEE Industrial Electronics Society (IECON18), Washington DC, USA, 5674-5679, 2018
  199. Edgar Estrada, Wen Yu, Stable PD position/force control in bilateral teleoperation, 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE18), Mexico City, Mexico, 1-6, 2018
  200. Salvador Ortiz, Wen Yu, Erik Zamora, Sliding mode three-dimension SLAM with application to quadrotor helicopter, 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE18), Mexico City, Mexico, 1-6, 2018
  201. Guillermo Puriel, Wen Yu, Humberto Sossa, Reinforcement learning compensation based PD control for inverted pendulum, 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE18), Mexico City, Mexico, 1-6, 2018
  202. Adolfo Perrusquia, Wen Yu, Task space human-robot interaction using angular velocity Jacobian, 2019 International Symposium on Medical Robotics (ISMR19), Atlanta, USA, 1-6, 2019.
  203. Adolfo Perrusquia, Wen Yu, Alberto Soria, Large Space Dimension Reinforcement Learning for Robot Position/Force Discrete Control, 6th International Conference on Control, Decision and Information Technologies (CoDIT’19), Paris, France, 2019
  204. Raheleh Jafari, Sina Razvarz, Cristóbal Vargas, Wen Yu, Control of Flow Rate in Pipeline Using PID Controller, 16th IEEE International Conference on Networking, Sensing, and Control (ICNSC19), Banff, Canada, 293-298, 2019
  205. Wen Yu, Xiaoou Li, Jesus Gonzalez, Fast training of deep LSTM networks, 16th International Symposium on Neural Networks (ISNN 2019), Moscow, Russia, Springer LNCS 11554, 3-10, 2019
  206. Jesus Morales, Mario Antonio, Wen Yu, Damage detection of building structure based on vibration data and hysteretic model, 15th IEEE International Conference on Automation Science and Engineering (CASE 2019), Vancouver, Canada, 608-613, 2019
  207. Salvador Ortiz, Wen Yu, XiaoouLi, Autonomous navigation in unknown environments using robust SLAM, 45th Annual Conference of the IEEE Industrial Electronics Society (IECON19), Lisbon, Portugal, 5450-5455, 2019
  208. Wen Yu, America Morales, Data driven fast real-time optimization with application to crude oil blending, 1st International Conference on Industrial Artificial Intelligence, DOI: 10.1109/ICIAI.2019.8850833, Shenyang, China, 2019
  209. Adolfo Perrusquria, Wen Yu, Alberto Soria, Optimal contact force of Robots in Unknown Environments using Reinforcement Learning and Model-free controllers, 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE19), Mexico City, Mexico, 2019
  210. Jorge Ramirez, Wen Yu, Human Behavior Learning in Joint Space Using Dynamic Time Warping and Neural Networks,16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE19), Mexico City, Mexico, 2019
  211. Mario Maya, Wen Yu, Short-term prediction of the earthquake through Neural Networks and Meta-Learning, 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE19), Mexico City, Mexico, 2019
  212. Adolfo Perrusquria, Juan Alejandro, Wen Yu, Simple Optimal Tracking Control for a Class of Closed-Chain Mechanisms in Task Space, 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE19), Mexico City, Mexico, 2019
  213. Adolfo Perrusquria, Wen Yu, Xiaoou Li, Impedance Control without Environment Model by Reinforcement Learning, 10th International Conference on Intelligent Control and Information Processing (ICICIP 2019), Marrakesh, Morocco, 59-63, 2019,
  214. Erick Garcia, Wen Yu, Xiaoou Li, Optimal Design of a Parallel Robot Using Neural Network and Genetic Algorithm, 10th International Conference on Intelligent Control and Information Processing (ICICIP 2019), Marrakesh, Morocco, 64-69, 2019.
  215. Perrusquia Adolfo and Yu Wen, Neural H2 Control Using Reinforcement Learning for Unknown Nonlinear Systems, 2020 IEEE World Congress on Computational Intelligence (WCCI 2020), Glasgow, UK, July 19-24, 2020
  216. Vega Francisco, Yu Wen, Fuzzy Modeling Using LSTM Cells for Nonlinear Systems, 2020 IEEE World Congress on Computational Intelligence (WCCI 2020), Glasgow, UK, July 19-24, 2020
  217. Andres Rodriguez, Jesus Morales, Wen Yu, Modeling and Proportional-Derivative Controller Design for Buildings based on Vibration Frequencies, 7th International Conference on Control, Decision and Information Technologies (CoDIT’20), 2020
  218. Adolfo Perrusquia , Wen Yu, Xiaoou Li, Redundant Robot Control Using Multi Agent Reinforcement Learning,16th IEEE International Conference on Automation Science and Engineering (CASE 2020), 1648-1653, August 20-21, 2020.
  219. Adolfo Perrusquia, Wen Yu, Xiaoou Li, Robust Control in the Worst Case Using Continuous Time Reinforcement Learning, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), 1951-1954, Toronto, Canada, 2020,
  220. Erick Garcia, Wen Yu, Xiaoou Li, Multi-robot manipulation using formation control and human-in-the-loop scheme, 17th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE20), Mexico City, Mexico, 2020
  221. Andres Rodriguez, Jesus Morales, Wen Yu, Active Vibration Control for Building Structures based on H_infinity Synthesis Problem, 17th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE20), Mexico City, Mexico, 2020
  222. Salvador Ortiz, Wen Yu, Xiaoou Li, Autonomous Navigation Using Robust SLAM and Genetic Algorithm, 17th IEEE International Conference on Automation Science and Engineering (CASE 2021), 1346-1351, Lyon, France, August 23-27, 2021
  223. Jorge Mercado, Wen Yu, A novel Bayesian inference based training method for time series forecasting, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2021), 909-913, Melbourne, Australia, 17-20 October, 2021.
  224. Adolfo Perrusquía, Wen Yu, Human-Behavior Learning for Infinite-Horizon Optimal Tracking Problems of Robot Manipulators, 57-62, 60th IEEE Conference on Decision and Control (CDC21), Austin, Texas, USA, December 13-15, 2021.
  225. Maya Mario, Yu Wen, Li Xiaoou, Time series forecasting with missing data using neural network and meta-transfer learning, 2021 IEEE Symposium Series on Computational Intelligence (SSCI 2021), 1-6, Orlando, Florida, USA, December 4th-7th 2021.
  226. Adolfo Perrusquia, Ruben Garrido, Wen Yu, An Input Error Method for Parameter Identification of a Class of Euler-Lagrange Systems,18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE21), Mexico City, Mexico, 1-6, November 10-12, 2021
  227. Andres Rodriguez-Torres, Jesús Morales Valdez and Wen Yu, Parametric identification of a magnetorheological damper based on Genetic Algorithm, 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE21), Mexico City, 1-6, Mexico, November 10-12, 2021
  228. Diego Peredo and Wen Yu, Comprehensive Review of Intelligent Modeling and Control of Smart Building, 18th IEEE International Conference on Automation Science and Engineering (CASE 2022), 1988-1993, Mexico City, Mexico, August 20-24, 2022
  229. Jorge Ramirez and Wen Yu, Redundant robot control with learning from expert demonstrations, 2022 IEEE Symposium Series on Computational Intelligence (SSCI 2022), 715-720, Singapore, 4-7 December 2022
  230. Jorge Morales and Wen Yu, Bayesian inference for neural network based high-precision modeling, 2022 IEEE Symposium Series on Computational Intelligence (SSCI 2022), 442-447, Singapore, 4-7 December 2022
  231. Francisco Vega and Wen Yu, Building Health Monitoring Using Smartphone and Neural Networks, 4th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI 2022), 163-167, Corfu, Greece, 19-21 October, 2022
  232. Andres Rodriguez-Torres, Jesús Morales Valdez, Wen Yu, Jesús David Avilés, Vibration control for a second-order system via a magnetorheological damper, 9th International Conference on Control, Decision and Information Technologies (CoDIT), Rome, Italy, 2023
  233. Francisco Vega, Wen Yu, Xiaoou Li, Complex nonlinear system modeling using type-2 fuzzy deep learning, 22nd IFAC World Congress, 6868-6871, Yokohama, Japan, July 9-14, 2023
  234. Jorge Ramirez, Wen Yu, Safe Exploration in Reinforcement Learning for Learning from Human Experts, IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things, September 16-17, 2023, Michigan University, USA
  235. Ivan Hernandez and Wen Yu, Optimal PD control for robots using GAN and LSTM, 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2023), 2628-2633, Hawaii, USA,October 1-4, 2023
  236. Guillermo Puriel, Xiaoou Li, Brisbane Ovilla-Martinez, Wen Yu, Robot PID control using reinforcement learning, 2023 IEEE Symposium Series on Computational Intelligence (SSCI 2023), Mexico City, Mexico. December 5-8, 2023
  237. Eduardo Yudho, Xiaoou Li, Brisbane Ovilla-Martinez, Wen Yu, Model-Free Optimal Control Based on Reinforcement Learning for Rotary Inverted Pendulum, 2023 IEEE Symposium Series on Computational Intelligence (SSCI 2023), Mexico City, Mexico. December 5-8, 2023
  238. Francisco Vega,Xiaoou Li, Brisbane Ovilla-Martinez, Wen Yu, Type-2 fuzzy LSTM for nonlinear system modeling, 2023 IEEE Symposium Series on Computational Intelligence (SSCI 2023), Mexico City, Mexico. December 5-8, 2023
  239. Xiaoou Li, Wen Yu, Yingqin Zhu, Smartphone-Based Structural Health Monitoring with Neural Network Regression for Damage Detection, 2024 IEEE International Conference on Systems, Man, and Cybernetics(SMC 2024), Sarawak, Malaysia, October 6th-10th, 2024
  240. Liyi Yu, Wen Yu, Cheng Siyu, Yao Jia, Tian-you Chai, Real-Time Caustic Ratio Control in Alumina Digestion Using Deep Reinforcement Learning, 6th International Conference on Industrial Artificial Intelligence (IAI 2024), Shenyang, China, August 21-24, 2024.
  241. H. Tian, J.Tang, H.Xia, J.Zhang, T.Wang, W.Yu, Conservative Q-learning Based Furnace Temperature Control in Municipal Solid Waste Incineration Process, 6th International Conference on Industrial Artificial Intelligence (IAI 2024), Shenyang, China, August 21-24, 2024.
  242. Shuting Gao, Wen Yu, Tianyou Chai, Semi-Supervised Caustic Concentration Prediction in Alumina Production with Transformers, 2024 Annual Conference of the IEEE Industrial Electronics Society (IECON24),, Chicago, USA, 3-6 November, 2024
  243. Shengbo Hong, Wen Yu, Tianyou Chai, Evolving Neural Networks for Bi-Level Human Decision-Making Prediction in Mineral Processing, 2024 Annual Conference of the IEEE Industrial Electronics Society (IECON24),, Chicago, USA, 3-6 November, 2024
  244. Xiaoou Li, Wen Yu, Neural Networks Fusion for Enhanced Time Series Forecasting with Missing Data, 2024 IEEE Latin American Conference on Computational Intelligent (IEEE LACCI 2024), Bogota, Colombia, November 13-15, 2024
National Conference
  1. Wen Yu, La passividad acerca a neuro sistema de control, 1er Congreso de Reponsables de Proyectos de Investigación en Ingeniería Elécrtrica, Ciencias de la Computación y Matemáticas Aplicadas a la Ingeniería, Oaxaca, Oaxaca, 2000
  2. Carlos Alejandro Villaseñor, Wen Yu, Modelado de Sistemas No Lneales via Redes Difuso Neuronales con Algoritmo de Aprendizaje Estable, Congreso Latinoamericano de Contrrol Automaticode, Jalisco, Guadalajala, 2002
  3. Marco A. Moreno , Eduardo Gómez-Ramírez , Wen Yu and Alexander S. Poznyak, A New Visual Algorithms for Stereo Vision in Robotics, Congreso Latinoamericano de Contrrol Automaticode, Jalisco, Guadalajala, 2002
  4. Floriberto Ortiz R., Wen Yu, Modelado y control PD-Difuso en tiempo real para el sistema barra-esfera, Congreso anual de la Asociación de México de Control Automático 2004 , Mexico D.F, Mexico, 213-218, 2004
  5. Gómez Salas Fernando, Wen Yu, José de Jesus Mesa Serrano, A simple training algorithm for hierarchical fuzzy neural network control, Congreso anual de la Asociación de México de Control Automático 2005, Cuernavaca, Mexico, 213-218, 2005
  6. José de Jesús Rubio, Wen Yu, A new discrete-time sliding-mode control using neural networks,Congreso anual de la Asociación de México de Control Automático 2005, Cuernavaca, Mexico, 213-218, 2005
  7. Marco A.Moreno-Armendariz, WenYu, Juan Humberto Sossa-Azuela, Stable training cellular neural networks for computer vision,Congreso anual de la Asociación de México de Control Automático 2006, Mexico D.F., Mexico, 206-210, 2006