Adaptive fuzzy funnel control for a class of strict feedback nonlinear systems

被引：95
作者：
Liu, Xiaoping [1 ,2 ,3 ]
Wang, Huanqing [4 ]
Gao, Chuang [3 ]
Chen, Ming [3 ]
机构：
[1] Lakehead Univ, Fac Engn, Thunder Bay, ON P7B 5E1, Canada
[2] Shandong Jianzhu Univ, Sch Informat & Elect Engn, Jinan 250101, Peoples R China
[3] Univ Sci & Technol Liaoning, Sch Elect & Informat Engn, Anshan 114044, Liaoning, Peoples R China
[4] Bohai Univ, Sch Math & Phys, Jinzhou 121000, Liaoning, Peoples R China
来源：
NEUROCOMPUTING | 2017年 / 241卷
基金：
中国国家自然科学基金; 加拿大自然科学与工程研究理事会;
关键词：
Adaptive fuzzy control; Backstepping; Funnel control; Nonlinear system; DYNAMIC SURFACE CONTROL; SMALL-GAIN APPROACH; TRACKING CONTROL; NEURAL-CONTROL; PRESCRIBED PERFORMANCE; APPROXIMATION; TRANSIENT; FAILURE; DESIGN;
D O I：
10.1016/j.neucom.2017.02.030
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a constraint control problem is considered for strict feedback nonlinear systems. On the basis of backstepping design procedure, a system transformation is carried out by introducing a new constraint variable. By utilizing fuzzy approximation, an adaptive fuzzy controller with prescribed constraint is designed to ensure the transient and steady state performance for the tracking errors of nonlinear system. The stability analysis proves that all signals in the closed-loop system are semi-globally, uniformly and ultimately bounded. The simulation results show that the proposed controller has a better transient and steady state performance than that of the existing constraint controllers. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码：71 / 80
页数：10
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