Dynamic event-triggered security control for networked T-S fuzzy system with non-uniform sampling

• Published in: Fuzzy sets and systems 2023-01, Vol.452, p.91-109
• Main Authors: Tan, Yushun, Yuan, Ye, Xie, Xiangpeng, Niu, Ben
• Format: Article
• Language: English
• Subjects: Dynamic event-triggered mechanism; Dynamic output feedback; Network attacks; Networked T-S fuzzy systems; Non-uniform sampling
• ISSN: 0165-0114; 1872-6801
• DOI: 10.1016/j.fss.2022.08.018

This paper is focused on the security control problem for the dynamic event-triggered networked T-S fuzzy control system with non-uniform sampling and stochastic network attacks. Different from existing research, the signals from sensor are sampled in a non-uniform period. To improve communication, a novel dynamic event-triggered method is proposed, which can adjust the trigger parameters dynamically according to the changes of external output. Then, a T-S fuzzy dynamic output feedback control model with event-triggered mechanism and network attacks is constructed. Furthermore, by introducing a set of slack matrix, the asynchronous premise variable problem caused by event-triggered method is solved, and some sufficient conditions that insure the asymptotic stability with an H∞ performance requirement of the established closed-loop system can be obtained by utilizing Lyapunov function method and stochastic analysis technique. Moreover, the gains of the fuzzy dynamic output feedback controllers are found by solving the linear matrix inequalities (LMIs). Finally, two practical examples are given to support the merits and effectiveness of the proposed method.