A fuzzy integral sliding-mode parallel control approach for nonlinear descriptor systems

被引:6
|
作者
Zhang, Chunyang [1 ,4 ]
Gong, Dianjun [2 ]
Gao, Qing [1 ,4 ]
Chen, Wei [3 ,4 ,5 ,6 ,7 ]
Wang, Jiannan [3 ,4 ,6 ,7 ]
机构
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
[2] Univ Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China
[3] Beihang Univ, Inst Artificial Intelligence, Beijing 100191, Peoples R China
[4] Zhongguancun Lab, Beijing, Peoples R China
[5] Beihang Univ, Sch Math Sci, Beijing 100191, Peoples R China
[6] Minist Educ, Key Lab Math Informat Behav Semant, Beijing 100191, Peoples R China
[7] Peng Cheng Lab, Shenzhen 518055, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Integral sliding-mode parallel controller; T-S fuzzy model; Nonlinear descriptor system; Universality; H-INFINITY CONTROL; STOCHASTIC-SYSTEMS; DESIGN; APPROXIMATION; OBSERVER;
D O I
10.1016/j.ins.2022.10.035
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 stabilization problem of nonlinear descriptor systems through Takagi-Sugeno (T-S) fuzzy models of type 1. A novel fuzzy integral sliding mode parallel control strategy is proposed, where the T-S fuzzy model is employed to equivalently approximate any nonlinear descriptor system. A fuzzy sliding-mode parallel controller is constructed to robustly control the T-S fuzzy model and, consequently, to semi-globally stabilize the corresponding nonlinear descriptor system. The developed control scheme can remove a restrictive assumption on the system input channel and is applicable to gen-eral nonlinear descriptor systems. Moreover, universality discussion of the developed con-troller for two kinds of nonlinear descriptor systems is provided, which endows the proposed method with more confidence in real industrial applications. Finally, two exam-ples numerically demonstrate the feasibility and advantages of the developed controller.(c) 2022 Elsevier Inc. All rights reserved.
引用
收藏
页码:491 / 503
页数:13
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