Wen Yu
Control Automático
Investigador Cinvestav 3F
Doctor en Ciencias (1995), Northeastern University, China
Investigador nacional nivel 3
Cubículo: A15
Teléfono : +52 (55) 5747 3734
Dirección electrónica: wen.yu@cinvestav.mx, yuw@ctrl.cinvestav.mx
Página personal:
https://www.ctrl.cinvestav.mx/~yuw/
https://wenyumex.wordpress.com/
Líneas de investigación
• Robotics
• Neural networks
• Fuzzy systems
• Adaptive control
• Data mining
Proyectos relevantes
1. Passivity approach to neuro control system, CONACyT-28070A, 1998-2000
2. Modeling and Control of Uncertain Hybrid Systems via Hybrid Neural Networks, CONACyT-38505A, 2002-2004
3. Hierarchical fuzzy neural networks for nonlinear system identification, CONACyT-NSF of China, 2006-2008
4. Neural adaptive control for nonlinear multiple time scale dynamic systems, CONACyT-50480Y, 2008-2011
5. Modelling for Medical Skill and Intelligent Compensation of Medical Robots, University of California - CONACyT, 2009-2010
6. Control of Building Structures Subjected to Earthquake, Texas A&M-CONACyT, 2009-2010
7. Intelligent Human-Robot Interaction and Robotic Rehabilitation Exoskeleton, CONACyT-167428, 2012-2015
8. Modeling and Control for Human-Robot Interaction with Deep Reinforcement Learning, CONACyT-A1-S-8216, 2019-2023
9. Development of machine learning-based innovative methods of seismic forecasting in Italy and Mexico, CNR-CINVESTAV, 2019-2021
10. Semi-Active Control of Building Structures Based on Structure Health Monitoring and Deep Learning Techniques, Sep-CINVESTAV, 2019-2021
Semblanza
Wen Yu received the B.S. degree in automation from Tsinghua University, Beijing, China in 1990 and the M.S. and Ph.D. degrees, both in automatic control, from Northeastern University, Shenyang, China, in 1992 and 1995, respectively. From 1995 to 1996, he served as a lecturer in the Department of Automatic Control at Northeastern University, Shenyang, China. Since 1996, he has been with CINVESTAV-IPN (National Polytechnic Institute), Mexico City, Mexico, where he is currently a professor with the Departamento de Control Automatico. From 2002 to 2003, he held research positions with the Instituto Mexicano del Petroleo. He was a Senior Visiting Research Fellow with Queen’s University Belfast, Belfast, U.K., from 2006 to 2007, and a Visiting Associate Professor with the University of California, Santa Cruz, from 2009 to 2010. He also holds a visiting professorship at Northeastern University in China from 2006.
Publicaciones recientes y/o relevantes
1. A.Poznyak, E.Sanchez, W.Yu , Differential Neural Networks for Robust Nonlinear Control, World Scientific Publishing Co., 2001
2. W. Yu, X. Li, Fuzzy identification using fuzzy neural networks with stable learning algorithms, IEEE Transactions on Fuzzy Systems 12 (3), 411-420, 2004.
3. A. Poznyak, W. Yu, EN. Sanchez, JP. Perez, Nonlinear adaptive trajectory tracking using dynamic neural networks, IEEE Transactions on Neural Networks 10 (6), 1402-1411, 1999
4. W. Yu, X. Li, Some new results on system identification with dynamic neural networks, IEEE Transactions on Neural Networks 12 (2), 412-417, 2001.
5. W. Yu, Nonlinear system identification using discrete-time recurrent neural networks with stable learning algorithms, Information Sciences 158, 131-147, 2004.
6. X. Li, W. Yu, F. Lara, Dynamic knowledge inference and learning under adaptive fuzzy Petri net framework, IEEE Transactions on Systems, Man, and Cybernetics, Part C, 30(4), 442-450, 2000.
7. W.Yu, X. Li, Some Stability Properties of Dynamic Neural Networks, IEEE Transactions on Circuits and Systems, Part I 48(2), 256-259, 2001.
8. Wen Yu & Suresh Thenozhi, Active Structural Control with Stable Fuzzy PID Techniques, Springer, 2016
9. Wen Yu, PID Control with Intelligent Compensation for Exoskeleton Robots, Academic Press, 2018
10. Wen Yu & Raheleh Jafari, Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number, Wiley, 2019
11. Wen Yu & Satyam Paul, Active Control of Bidirectional Structural Vibration, Springer, 2020
12. J.Tang and Wen Yu, Industrial Process Modelling with Mechanical Frequency Spectrum Data, Cambridge Scholars Publishing, 2021
13. Y.Xu, W.Zhang, W.Liu, Wen Yu, Distributed Energy Management of Electrical Power Systems, Wiley, 2021
14. Wen Yu and A.Perrusquía, Human-Robot Interaction Control Using Reinforcement Learning, Wiley, 2021
15. 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
16. Yang, T.Chai, 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
17. 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
18. 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
Curriculum vitae completo
https://www.ctrl.cinvestav.mx/~yuw/
https://wenyumex.wordpress.com/