Robust Control for Interval Type-2 T-S Fuzzy Discrete Systems with Input Delays and Cyber Attacks

被引：3

作者：

Liu, Chuang ^{[1
,2
]}

Wu, Jinxia ^{[3
]}

Yang, Weidong ^{[1
]}

机构：

[1] Univ Sci & Technol Beijing, Sch Automat, Beijing 100083, Peoples R China

[2] BoHai Univ, Coll Control Sci & Engn, Jinzhou 121001, Peoples R China

[3] Liaoning Univ Technol, Coll Sci, Jinzhou 121001, Peoples R China

来源：

JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY | 2023年 / 36卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Asymptotic stability; fuzzy robust control; input delays; IT2 T-S fuzzy discrete systems; stochastic cyber attacks; STABILITY ANALYSIS; DESIGN; STABILIZATION;

D O I：

10.1007/s11424-023-2215-8

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

This paper focuses on the robust control issue for interval type-2 Takagi-Sugeno (IT2 T-S) fuzzy discrete systems with input delays and cyber attacks. The lower and upper membership functions are first utilized to IT2 fuzzy discrete systems to capture parameter uncertainties. By considering the influences of input delays and stochastic cyber attacks, a newly fuzzy robust controller is established. Afterward, the asymptotic stability sufficient conditions in form of LMIs for the IT2 closed-loop systems are given via establishing a Lyapunov-Krasovskii functional. Afterward, a solving algorithm for obtaining the controller gains is given. Finally, the effectiveness of the developed IT2 fuzzy method is verified by a numerical example.

引用

页码：1443 / 1462

页数：20

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