Affine Transformed IT2 Fuzzy Event-Triggered Control Under Deception Attacks

Citations

WEB OF SCIENCE

90
Citations

SCOPUS

95

초록

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.

키워드

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
제목
Affine Transformed IT2 Fuzzy Event-Triggered Control Under Deception Attacks
저자
Han, Seungyong; Kommuri, Suneel Kumar; Lee, Sangmoon
DOI
10.1109/TFUZZ.2020.2999779
발행일
2021-02
유형
Article
저널명
IEEE Transactions on Fuzzy Systems
권
29
호
2
페이지
322 ~ 335