Robust Event-Triggered Sampled-Data Fuzzy Control with Non-fragile for Nonlinear Delayed Distributed Parameter Systems

被引:7
作者
Zhao, Feng-Liang [1 ]
Wang, Zi-Peng [2 ,3 ]
Wu, Huai-Ning [4 ]
Qiao, Jun-Fei [2 ,3 ]
Yan, Xue-Hua [1 ]
Li, Han-Xiong [5 ]
机构
[1] Univ Jinan, Sch Elect Engn, Jinan 250022, Peoples R China
[2] Beijing Key Lab Computat Intelligence & Intelligen, Fac Informat Technol, Beijing Lab Smart Environm Protect, Beijing 100124, Peoples R China
[3] Beijing Univ Technol, Beijing Inst Artificial Intelligence, Beijing 100124, Peoples R China
[4] Beihang Univ, Sch Automation Sci & Elect Engn, Sci & Technol Aircraft Control Lab, Beijing 100191, Peoples R China
[5] City Univ Hong Kong, Dept Syst Engn & Engn Management, Hong Kong, Peoples R China
基金
中国博士后科学基金;
关键词
Nonlinear delayed distributed parameter systems; Fuzzy control; Event-triggered sampled-data control; Robust control; H-INFINITY CONTROL; CHAOTIC SYSTEMS; STABILIZATION; STABILITY;
D O I
10.1007/s40815-023-01505-1
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 article investigates robust non-fragile event-triggered sampled-data fuzzy (ETSDF) control for uncertain nonlinear delayed distributed parameter systems. Initially, a T-S fuzzy delayed partial differential equation model is presented to exactly describe the uncertain nonlinear delayed distributed parameter systems (DPS). secondly, a robust non-fragile ETSDF control strategy is proposed to reduce the unnecessary SD and cope with the uncertainties in controller and system. Then, based on an appropriate Lyapunov functional, the exponential stability conditions of closed-loop nonlinear delayed DPS via linear matrix inequalities are presented. Lastly, one example is presented to illustrate the design method.
引用
收藏
页码:2312 / 2325
页数:14
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