Event-triggered predictive control for interval type-2 T-S fuzzy systems

被引：0

作者：

Zhou J.-F. ^{[1
]}

Hu M.-F. ^{[1
]}

机构：

[1] School of Science, Jiangnan University, Jiangsu, Wuxi

来源：

Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2022年 / 39卷 / 08期

基金：

中国国家自然科学基金;

关键词：

event-triggered mechanism; fuzzy systems; linear matrix inequality; Lyapunov stability theory; predictive control;

D O I：

10.7641/CTA.2021.10549

中图分类号：

学科分类号：

摘要：

This paper investigates the dynamic event-triggered predictive control problem of interval type-2 (IT2) fuzzy systems with imperfect premise matching. First of all, an IT2 fuzzy system is proposed, including a dynamic event-triggered mechanism (ETM) that can save limited network resources by reducing the number of data packets transmitted and a predictive controller that can predict the state of the system between the two successful transmitted instants to deal with unreliable communication networks. Next, according to the Lyapunov stability theory and imperfect premise matching method, the sufficient conditions for system stabilization are obtained. Then, the gain of the controller are obtained by using linear matrix inequality (LMI). Finally, the validity of the design method is demonstrated by the numerical simulation. © 2022 South China University of Technology. All rights reserved.

引用

页码：1471 / 1478

页数：7

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