Observer‐Based PID Security Control for Discrete‐Time T‐S Fuzzy Systems under Distributed Dynamic Event‐Triggered Mechanism
Sisi Lin, Mengzhuo Luo, Shouming Zhong, Kaibo Shi, Xingxu Tan · Discrete Dynamics in Nature and Society · 2022
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.