Adaptive fuzzy approach for a class of uncertain nonlinear systems in strict-feedback form

被引：58
|
作者：
Ho, H. F. [1 ]
Wong, Y. K. [1 ]
Rad, A. B. [2 ]
机构：
[1] Hong Kong Polytech Univ, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China
[2] Simon Fraser Univ, Burnaby, BC V5A 1S6, Canada
来源：
ISA TRANSACTIONS | 2008年 / 47卷 / 03期
关键词：
adaptive control; backstepping; fuzzy control; uncertain nonlinear systems;
D O I：
10.1016/j.isatra.2008.03.002
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Adaptive fuzzy control is proposed for a class of affine nonlinear systems in strict-feedback form with unknown nonlinearities. The unknown nonlinearities include two types of nonlinear functions: one satisfies the "triangularity condition" and can be directly approximated by fuzzy logic system, while the other is assumed to be partially known and consists of parametric uncertainties. Takagi-Sugeno type fuzzy approximators are used to approximate unknown system nonlinearities and the design procedure is a combination of adaptive backstepping and generalized small gain design techniques. It is proved that the proposed adaptive control scheme can guarantee the uniformly ultimately bounded (UBB) stability of the closed-loop systems. Simulation studies are shown to illustrate the effectiveness of the proposed approach. (C) 2008, ISA. Published by Elsevier Ltd. All rights reserved.
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页码：286 / 299
页数：14
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