Robust Adaptive Sliding-Mode Control for Fuzzy Systems With Mismatched Uncertainties

被引：276

作者：

Zhang, Jinhui ^{[1
]}

Shi, Peng ^{[2
,3
,4
]}

Xia, Yuanqing ^{[1
]}

机构：

[1] Beijing Inst Technol, Dept Automat Control, Beijing 100081, Peoples R China

[2] Univ Glamorgan, Dept Comp & Math Sci, Pontypridd CF37 1DL, M Glam, Wales

[3] Victoria Univ, Sch Sci & Engn, Melbourne, Vic 8001, Australia

[4] Univ S Australia, Sch Math & Stat, Adelaide, SA 5095, Australia

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2010年 / 18卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Adaptive control; robust control; sliding-mode control (SMC); Takagi-Sugeno (T-S) fuzzy system; VARIABLE-STRUCTURE CONTROL; OUTPUT-FEEDBACK CONTROL; TIME-DELAY SYSTEMS; NONLINEAR-SYSTEMS; TRACKING CONTROL; ADAPTATION LAWS; UPPER-BOUNDS; DESIGN; OBSERVERS; NORM;

D O I：

10.1109/TFUZZ.2010.2047506

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper is devoted to design adaptive sliding-mode controllers for the Takagi-Sugeno (T-S) fuzzy system with mismatched uncertainties and exogenous disturbances. The uncertainties in state matrices are mismatched and norm-bounded, while the exogenous disturbances are assumed to be bounded with an unknown bound, which is estimated by a simple and effective adaptive approach. Both state-and static-output-feedback sliding-mode-control problems are considered. In terms of linear-matrix inequalities (LMIs), both sliding surfaces and sliding-mode controllers can be easily obtained via a convex optimization technique. Finally, two simulation examples and a real experiment are utilized to illustrate the applicability and effectiveness of the design procedures proposed in this paper.

引用

页码：700 / 711

页数：12

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