Event-triggered adaptive fuzzy tracking control of nonlinear MIMO systems

ABSTRACT

This paper addresses the problem of an adaptive fuzzy event-triggered control (ETC) for uncertain multi-input and multi-output nonlinear systems. To reduce the communication burden of the network control systems, a novel state-dependent event-triggering condition is designed to decide when to update the controllers. By combining the backstepping and event-trigged techniques, the adaptive fuzzy ETC strategies are developed and the resulting closed-loop system is semi-global bounded. Finally, the analytical results are substantiated using simulation studies.

Keywords:

• Backstepping
• MIMO nonlinear systems
• event-triggered control
• adaptive control
• fuzzy logic systems

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported in part by the Funds of National Science of China under (Grant Nos. 61603166, 61621004, 61420106016, 61773188), and the Research Fund of State Key Laboratory of Synthetical Automation for Process Industries under (Grant No. 2018ZCX03).

Notes on contributors

Yuan-Xin Li

Yuan-Xin Li received the B.S. degree in mathematics and applied mathematics from Qufu Normal University, Jining, China, in 2007, the M.S. degree in computational mathematics from the College of Mathematical Sciences, Dalian University of Technology, Dalian, China, in 2009, and the Ph.D. degree in control theory and control engineering from the College of Information Science and Engineering, Northeastern University, Shenyang, China, in 2017. He is currently an Associate Professor with the Department of Science, Liaoning University of Technology, Jinzhou, China. His current research interests include adaptive fuzzy/neural control, fault-tolerant control, event-triggered control, and adaptive control of cyber-physical systems.

Guang-Hong Yang

Guang-Hong Yang (SM'04) received the B.S. and M.S. degrees in mathematics and the Ph.D. degree in control theory and control engineering with Northeast University, Shenyang, China, in 1983, 1986, and 1994, respectively. From 2001 to 2005, he was a Research Scientist/Senior Research Scientist with the National University of Singapore, Singapore. He is currently a Professor and the Dean with the College of Information Science and Engineering, Northeastern University. His current research interests include fault-tolerant control, fault detection and isolation, cyber-physical systems, and robust control. Dr Yang is an Associate Editor of the International Journal of Control, Automation, and Systems, International Journal of Systems Science, IET Control Theory and Applications, and IEEE Transactions on Fuzzy Systems.

Shaocheng Tong

Shaocheng Tong (SM'15) received the B.S. degree in mathematics from Jinzhou Normal College, Jinzhou, China, in 1982, the M.S. degree in fuzzy mathematics from Dalian Marine University, Dalian, China, in 1988, and the Ph.D. degree in fuzzy control from Northeastern University, Shenyang, China, in 1997. He is currently a Professor with the College of Science, Liaoning University of Technology, Jinzhou. His current research interests include fuzzy and neural networks control theory and nonlinear control, adaptive control, and system identification. Prof. Tong is an Associate Editor of the IEEE Transactions on Fuzzy Systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, International Journal of Fuzzy Systems, and Neurocomputing.