Finite-Time Adaptive Fuzzy Command Filtered Backstepping Control for a Class of Nonlinear Systems

被引:0
作者
Huanqing Wang
Shijia Kang
Zhiguang Feng
机构
[1] Bohai University,School of Mathematics and Physics
[2] Harbin Engineering University,The College of Automation
来源
International Journal of Fuzzy Systems | 2019年 / 21卷
关键词
Nonstrict-feedback; Fuzzy logic systems; Backstepping; Finite time; Command filter;
D O I
暂无
中图分类号
学科分类号
摘要
In this article, the problem of adaptive fuzzy finite-time command filtered control is considered for a class of nonstrict-feedback nonlinear systems. The explosion of complexity problem is dealt with by employing the command filter approach. In order to design a finite-time control scheme, a finite-time semi-global practical stability criterion is first presented. Based on this criterion, by applying the command filter technology and backstepping technique, adaptive fuzzy finite-time tracking control scheme is developed with the help of fuzzy logic systems approximation. Under the presented adaptive control scheme, all the closed-loop variables are semi-global practical finite-time stable and the tracking error goes into an adjustable neighborhood around the origin in a finite time. Finally, simulations are utilized to verify the effectiveness of designed control scheme.
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页码:2575 / 2587
页数:12
相关论文
共 176 条
[11]  
Lee DH(2017)Adaptive fuzzy control for nonlinear pure-feedback systems with external disturbance and unknown dead zone output Int. J. Fuzzy Syst. 24 1441-1454
[12]  
Joo YH(2000)Adaptive neural network control for strict-feedback nonlinear systems using backstepping design Automatica 45 1530-1535
[13]  
Tak MH(2016)Adaptive fuzzy tracking control design for SISO uncertain nonstrict feedback nonlinear systems IEEE Trans. Fuzzy Syst. 45 2816-2826
[14]  
Tong S(2009)Direct adaptive fuzzy control of nonlinear strict-feedback systems Automatica 47 1-12
[15]  
Li Y(2015)Observed-based adaptive fuzzy tracking control for switched nonlinear systems with dead-zone IEEE Trans. Cybern. 20 1012-1021
[16]  
Shi P(2017)Adaptive fuzzy control for nonstrict-feedback systems with input saturation and output constraint IEEE Trans. Syst. Man Cybern. Syst. 71 959-979
[17]  
Li S(2012)Adaptive fuzzy control of a class of nonlinear systems by fuzzy approximation approach IEEE Trans. Fuzzy Syst. 16 195-202
[18]  
Ahn CK(1998)Adaptive dynamic surface control: a simplified algorithm for adaptive backstepping control of nonlinear systems Int. J. Control 45 138-149
[19]  
Xiang Z(2005)Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form IEEE Trans. Neural Netw. 22 338-349
[20]  
Du P(2015)Adaptive fuzzy output feedback dynamic surface control of interconnected nonlinear pure-feedback systems IEEE Trans. Cybern. 292 125-142