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

被引：182

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

页码：27 / 36

页数：10

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