Event-based fuzzy control for T-S fuzzy networked systems with various data missing

被引：80
作者：
Chen, Ziran [1 ]
Zhang, Baoyong [1 ]
Stojanovic, Vladimir [3 ]
Zhang, Yijun [1 ]
Zhang, Zhengqiang [2 ]
机构：
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Jiangsu, Peoples R China
[2] Qufu Normal Univ, Sch Elect Engn & Automat, Rizhao 276826, Shandong, Peoples R China
[3] Univ Kragujevac, Dept Automat Control Robot & Fluid Tech, Fac Mech & Civil Engn, Kraljevo 36000, Serbia
来源：
NEUROCOMPUTING | 2020年 / 417卷
基金：
中国国家自然科学基金;
关键词：
T-S fuzzy systems; Networked control systems; Event-triggered scheme; Data losses; Slack matrices; H-INFINITY CONTROL; TRACKING CONTROL;
D O I：
10.1016/j.neucom.2020.08.063
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 concerned with the design of fuzzy controller for networked control systems (NCSs). T-S fuzzy system approach is adopted to study the problem. In account of NCSs, various data missing on both sides of the controller caused by event-triggered scheme, data losses and event-driven controller are involved. For handling this issue, an auxiliary random series method is presented to describe the data transferring in the network. Based on this method, the closed-loop NCSs is constructed and then analyzed via Lyapunov stability theory. Additionally, the probability of random data losses at each instant is supposed to be different which is more practical. For the purpose of obtaining more relaxed stabilization conditions, the fuzzy Lyapunov function obtained on the basis of both plant and controller fuzzy rules is employed. Furthermore, variations of membership functions are taken into account, and consequently, slack matrices are introduced to obtain less conservative result. At last, by considering a cart-damper-spring system, the effectiveness of the proposed method is illustrated. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页码：322 / 332
页数：11
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