Adaptive Event-Triggered Asynchronous Control for Interval Type-2 Fuzzy Markov Jump Systems With Cyberattacks
Guangtao Ran, Chuanjiang Li, R. Sakthivel, Chunsong Han, Bohui Wang, Jian Liu
Abstract
In this article, the problem of adaptive event-triggered dissipative control is investigated for interval type-2 (IT2) fuzzy nonlinear Markov jump systems subject to asynchronous switching and cyberattacks. To reduce unnecessary transmission, an adaptive event-triggered mechanism (AETM) is introduced to fully employ the limited network resources and alleviate the pressure of network communication. The considered cyberattacks are described by a stochastic function with stochastic distribution. Then, a novel IT2 fuzzy closed-loop system is efficiently built under the AETM and the cyberattacks model, in which the asynchronous phenomenon of the plant and controller are described by the hidden Markov model. By utilizing the Lyapunov stability approach, sufficient conditions are established for the IT2 fuzzy closed-loop systems with strictly dissipative performance. Two examples are given to verify the effectiveness of the proposed algorithm.