Observer-Based Adaptive Sliding Mode Control for T-S Fuzzy Singular Systems

被引：47
|
作者：
Sun, Xingjian [1 ]
Zhang, Qingling [1 ]
机构：
[1] Northeastern Univ, Inst Syst Sci, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Peoples R China
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2020年 / 50卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Adaptive control; singular systems; sliding mode control (SMC); H-INFINITY CONTROL; DESCRIPTOR SYSTEMS; TIME-DELAY; STABILIZATION; DESIGN; STABILITY;
D O I：
10.1109/TSMC.2018.2852957
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 investigates the problem of adaptive H-infinity sliding mode control (SMC) for a class of nonlinear systems via Takagi-Sugeno (T-S) fuzzy model approach. The input matrices and output matrices in all local linear systems are different. A novel observer is designed to estimate the unmeasured states. Based on such an observer, the control input is only appeared in the T-S fuzzy singular system and error system. A new integral sliding surface is put forward to match the characteristic of T-S fuzzy singular system with different input and output matrices. Based on the new integral sliding surface, a new adaptive SMC scheme is designed to guarantee the admissibility of the T-S fuzzy singular system with H-infinity performance and the reachability of the T-S fuzzy integral sliding surface. A simulation result is presented to illustrate the effectiveness and feasibility of the developed observer-based SMC design method.
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页码：4438 / 4446
页数：9
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