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
收藏
页码：3527 / 3536
页数：10
相关论文
共 46 条
[1]   Adaptive Neural Control of Uncertain Nonlinear Systems Using Disturbance Observer [J].
Chen, Mou ;
Shao, Shu-Yi ;
Jiang, Bin .
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 47 (10) :3110-3123
[2]   Dynamic Surface Control Using Neural Networks for a Class of Uncertain Nonlinear Systems With Input Saturation [J].
Chen, Mou ;
Tao, Gang ;
Jiang, Bin .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 26 (09) :2086-2097
[3]   Event-Based Control for Networked T-S Fuzzy Systems via Auxiliary Random Series Approach [J].
Chen, Ziran ;
Zhang, Baoyong ;
Zhang, Yijun ;
Ma, Qian ;
Zhang, Zhengqiang .
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 50 (05) :2166-2175
[4]  
Furuhashi T., 1999, J. Adv. Comput. Intell, V3, P99
[5]   Practical Tracking Via Adaptive Event-Triggered Feedback for Uncertain Nonlinear Systems [J].
Huang, Yaxin ;
Liu, Yungang .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 64 (09) :3920-3927
[6]   Switching event-triggered control for a class of uncertain nonlinear systems [J].
Huang, Yaxin ;
Liu, Yungang .
AUTOMATICA, 2019, 108
[7]   Adaptive Fuzzy Control of Stochastic Nonstrict-Feedback Nonlinear Systems With Input Saturation [J].
Li, Hongyi ;
Bai, Lu ;
Zhou, Qi ;
Lu, Renquan ;
Wang, Lijie .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 47 (08) :2185-2197
[8]   Adaptive Neural Networks Finite-Time Optimal Control for a Class of Nonlinear Systems [J].
Li, Yongming ;
Yang, Tingting ;
Tong, Shaocheng .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 31 (11) :4451-4460
[9]   Finite-Time Adaptive Fuzzy Output Feedback Dynamic Surface Control for MIMO Nonstrict Feedback Systems [J].
Li, Yongming ;
Li, Kewen ;
Tong, Shaocheng .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2019, 27 (01) :96-110
[10]   Finite time command filtered adaptive fault tolerant control for a class of uncertain nonlinear systems [J].
Li, Yuan-Xin .
AUTOMATICA, 2019, 106 :117-123
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