Observer-Based PID Security Control for Discrete-Time T-S Fuzzy Systems under Distributed Dynamic Event-Triggered Mechanism
Author(s) -
Sisi Lin,
Mengzhuo Luo,
Shouming Zhong,
Kaibo Shi,
Xingxu Tan
Publication year - 2022
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2022/9216557
Subject(s) - control theory (sociology) , computer science , observer (physics) , fuzzy logic , pid controller , discrete time and continuous time , nonlinear system , lyapunov stability , state observer , stability (learning theory) , fuzzy control system , control (management) , mathematics , control engineering , artificial intelligence , engineering , temperature control , statistics , physics , quantum mechanics , machine learning
This study addresses the observer-based proportional-integral-derivative (PID) security control problem for nonlinear discrete-time fuzzy systems subject to deception attacks. In order to reduce the burden of communication, a distributed dynamic event-triggered mechanism (DETM) is proposed, and each sensor node is equipped with an event-trigger generator. A new discrete-time Takagi–Sugeno (T-S) fuzzy model is established, in which both DETM and deception attacks are taken into consideration. Then, based on Lyapunov stability theory, the sufficient conditions for the input-to-state stability (ISS) are proposed, and the desired fuzzy PID controllers are given. Finally, a simulation example is provided to show the usefulness of the proposed approach.
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