Affine Transformed IT2 Fuzzy Event-Triggered Control Under Deception Attacks

被引：65

作者：

Han, Seungyong ^{[1
]}

Kommuri, Suneel Kumar ^{[2
]}

Lee, Sangmoon ^{[1
]}

机构：

[1] Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea

[2] Xian Jiaotong Liverpool Univ, Dept Elect & Elect Engn, Suzhou 215123, Peoples R China

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2021年 / 29卷 / 02期

基金：

新加坡国家研究基金会;

关键词：

Fuzzy systems; Nonlinear systems; Adaptive control; Symmetric matrices; Actuators; Affine transformed interval type-2 (IT2) Takagi– Sugeno (T– S) fuzzy systems; cyber– physical systems (CPSs); deception attacks; event-triggered control (ETC); linear matrix inequalities (LMIs); CYBER-PHYSICAL SYSTEMS; LOGIC SYSTEMS; CRITERIA; DESIGN;

D O I：

10.1109/TFUZZ.2020.2999779

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Stabilization of type-2 fuzzy system in the presence of cyber attacks is investigated in this article. For a practical application, a class of nonlinear system can be represented by an interval type-2 fuzzy system through a set of membership functions. Unlike existing schemes, 1) affine membership functions are considered in the controller design; moreover, 2) a robust adaptive event-triggered control is proposed to avoid the unwanted triggering events, which makes the proposed scheme more reliable and relaxes the conservativeness of stability analysis.In the numerical simulation, the mass-spring-damper system and the tracking control system are considered to illustrate the robustness and effectiveness of the proposed approach.

引用

页码：322 / 335

页数：14

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