A novel event-based fuzzy control approach for continuous-time fuzzy systems

被引：7
作者：
Pan, Yingnan [1 ]
Yang, Guang-Hong [1 ,2 ]
机构：
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Liaoning, Peoples R China
来源：
NEUROCOMPUTING | 2019年 / 338卷
基金：
中国国家自然科学基金;
关键词：
IT2 fuzzy systems; Event-based fuzzy control; Mismatched membership functions; SLIDING MODE CONTROL; UNMODELED DYNAMICS; NONLINEAR-SYSTEMS; FEEDBACK-SYSTEMS; TRACKING CONTROL; NETWORK; SYNCHRONIZATION; DESIGN;
D O I：
10.1016/j.neucom.2019.01.098
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 investigates the event-based fuzzy control problem for continuous-time interval type-2 (IT2) fuzzy networked control systems (NCSs). A new Lyapunov-Krasovskii functional is introduced in the stability analysis, where the integrands of the Lyapunov-Krasovskii functional are dependent of membership functions. Applying the information of time-derivatives of membership functions, a novel switching event-based fuzzy controller is designed to ensure that the closed-loop IT2 fuzzy system with mismatched membership functions is asymptotically stable. Different from the existing event-based fuzzy control results, both of the information of membership functions and the time-derivatives of membership functions can be utilized in the stability analysis to reduce the conservativeness. Finally, a simulation example is given to show the effectiveness and advantages of the design and analysis. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码：55 / 62
页数：8
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