期刊
IEEE TRANSACTIONS ON FUZZY SYSTEMS
卷 29, 期 12, 页码 3803-3811出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2020.3028645
关键词
Nonlinear systems; Backstepping; Adaptive control; Convergence; Control design; Adaptive control; asymptotic tracking control; backstepping; event-triggered control (ETC); uncertain nonlinear systems (UNSs)
资金
- Funds of National Science of China [61973146, 61773188]
- Doctoral Research Initiation of Foundation of Liaoning Province [20180540047]
- Distinguished Young Scientific Research Talents Plan of Liaoning Province [XLYC1907077, JQL201915402]
- Taishan Scholar Project of Shandong Province of China [tsqn201909097]
This article presents an adaptive event-triggered control method for uncertain nonlinear systems, ensuring asymptotic stability of the system without violating state constraints, and evaluates the effectiveness of the method through simulations.
This article is concerned with the adaptive event-triggered control (ETC) problem for uncertain nonlinear systems with full state constraints. By combining the asymmetric barrier Lyapunov functions with the backstepping technique, an adaptive ETC method is designed for the system under consideration. In addition, by introducing some well-defined smooth functions and the bounded estimation approach, the effects caused by the unknown virtual control coefficients and unknown nonlinear functions are counteracted. The asymptotic stability of the closed-loop system is ensured without violating the state constraints. Finally, the effectiveness of the control method is evaluated through simulations.
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