Affine Transformed IT2 Fuzzy Event-Triggered Control Under Deception Attacks

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 f...

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Bibliographic Details
Published inIEEE transactions on fuzzy systems Vol. 29; no. 2; pp. 322 - 335
Main Authors Han, Seungyong, Kommuri, Suneel Kumar, Lee, Sangmoon
Format Journal Article
LanguageEnglish
Published New York IEEE 01.02.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Actuators
Adaptive control
Affine transformed interval type-2 (IT2) Takagi–Sugeno (T–S) fuzzy systems
Control systems design
Cybersecurity
cyber–physical systems (CPSs)
deception attacks
Event triggered control
event-triggered control (ETC)
Fuzzy control
Fuzzy systems
linear matrix inequalities (LMIs)
Mass-spring-damper systems
Nonlinear systems
Robust control
Stability analysis
Symmetric matrices
Tracking control
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Summary: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.
ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2020.2999779