Adaptive Fuzzy Event-Triggered Tracking Control for Nonstrict Nonlinear Systems

被引：25

作者：

Xie, Yingkang ^{[1
]}

Ma, Qian ^{[1
]}

Wang, Zhen ^{[2
]}

机构：

[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Peoples R China

[2] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao 266590, Peoples R China

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2022年 / 30卷 / 09期

关键词：

Nonlinear systems; Observers; Adaptive systems; System performance; Backstepping; Switches; Fuzzy logic; Event-triggered strategy; fuzzy state observer; nonlinear systems; output feedback control; DYNAMIC SURFACE CONTROL; PRACTICAL TRACKING; FEEDBACK; STABILIZATION; STATE;

D O I：

10.1109/TFUZZ.2021.3118732

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article addresses adaptive fuzzy event-triggered controller design for nonstrict nonlinear systems. First, for estimating the unmeasurable states, the high-gain fuzzy state observer is designed. By using backstepping technique, the adaptive fuzzy controller is designed. A new switching threshold event-triggered mechanism is given to decide when the controller needs to be updated and the Zeno behavior is avoided. Stability analysis shows that the tracking error can be arbitrarily small and all variables of the closed-loop system remain bounded. At last, the effectiveness of our control strategy is illustrated through simulation.

引用

页码：3527 / 3536

页数：10

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