Observer-Based Adaptive Fuzzy Control for a Class of Nonlinear Delayed Systems

被引：181
|
作者：
Chen, Bing [1 ]
Lin, Chong [1 ]
Liu, Xiaoping [2 ]
Liu, Kefu [2 ]
机构：
[1] Qingdao Univ, Sch Automat Engn, Qingdao 266071, Peoples R China
[2] Lakehead Univ, Fac Engn, Thunder Bay, ON P7B 5E1, Canada
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2016年 / 46卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Adaptive control; backstepping; fuzzy control; nonlinear systems; time delay; DYNAMIC SURFACE CONTROL; PURE-FEEDBACK SYSTEMS; NEURAL-NETWORK CONTROL; UNKNOWN DEAD-ZONES; OUTPUT-FEEDBACK; TRACKING CONTROL; NN CONTROL; DESIGN; FORM; APPROXIMATION;
D O I：
10.1109/TSMC.2015.2420543
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper considers the problem of observer-based adaptive fuzzy control for a class of nonlinear time-delay systems in nonstrict-feedback form, which includes the nonlinear strict-feedback systems as a special case. An adaptive fuzzy output feedback backstepping approach is first proposed for nonlinear systems in nonstrict-feedback form. Fuzzy logic systems are used to approximate the unknown nonlinear functions. Adaptive technique and backstepping are utilized to construct a controller. The proposed adaptive fuzzy output feedback controller guarantees that all the signals in the adaptive closed-loop system are semi-globally uniformly ultimately bounded. Simulation results are provided to demonstrate the effectiveness of the presented approach.
引用
收藏
页码：27 / 36
页数：10
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