Robust event-triggered reliable control for T-S fuzzy uncertain systems via weighted based inequality

被引：52

作者：

Nagamani, G. ^{[1
,2
]}

Joo, Young Hoon ^{[2
]}

Soundararajan, G. ^{[1
]}

Mohajerpoor, Reza ^{[3
]}

机构：

[1] Gandhigram Rural Inst, Dept Math, Gandhigram 624302, Tamil Nadu, India

[2] Kunsan Natl Univ, IT Informat & Control Engn, Gunsan Si, Jeollabuk Do, South Korea

[3] Univ Sydney, Sch Civil Engn, Sydney, NSW, Australia

来源：

INFORMATION SCIENCES | 2020年 / 512卷

基金：

新加坡国家研究基金会;

关键词：

T-S Fuzzy nonlinear model; Event-triggered communication scheme; Linear matrix inequality; Lyapunov-Krasovskii functional; H-INFINITY CONTROL; TIME-DELAY SYSTEMS; NETWORKED CONTROL-SYSTEMS; OUTPUT-FEEDBACK; COMMUNICATION SCHEME; STABILITY ANALYSIS; FILTER DESIGN; STABILIZATION;

D O I：

10.1016/j.ins.2019.09.034

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 is concerned with the design of event-triggered reliable control scheme for a class of uncertain Takagi-Sugeno (T-S) fuzzy nonlinear systems involving network transmission delays. Moreover, the designed fuzzy controller is reliable in the sense that the stability and the satisfactory performance of the closed-loop system are achieved not only under normal operation but in the presence of some actuator faults as well. For this notion, a reliable event-trigger scheme is designed for the nonlinear system in transmitting the sampled state information to the controller. By employing Lyapunov-Kraskovskii functional (LKF) and by using the weighted integral inequality, the exponential stability conditions are derived in the form of linear matrix inequalities (LMIs). By solving the proposed LMI conditions the triggering and control gain matrices are obtained via the computational toolbox. Finally, the effectiveness and the less conservativeness of the proposed robust event-triggered controller have been illustrated via some real control systems such as mass-spring-damper physical system, flexible-joint robot arm and variable speed wind turbine system. (C) 2019 Elsevier Inc. All rights reserved.

引用

页码：31 / 49

页数：19