Secure Reachable Set Synthesis and Reliable Event-Driven Mechanism for T–S Fuzzy Semi-Markovian Networked Control Systems Against Deception Attacks

This article aims to investigate the problems of secure reachability set synthesis and reliable event-driven mechanism design for Takagi–Sugeno (T–S) fuzzy semi-Markovian network control system (S-MNCS) subjected to external disturbances. To this end, important issues, such as actuator failures, stochastic jump parameters, and stochastic deception attacks occurring in the transmission network are given priority consideration during the design of the controller scheme. At this time, the stochastic parameters are generated using a semi-Markov process, where the transition rate varies depending on the sojourn time. Next, a novel mode-dependent fuzzy event trigger control mechanism for S-MNCS is proposed to achieve reliable performance against actuator failure and deception attacks, reduce unnecessary communication, and improve communication efficiency. Then, a new integral inequality based on free-weight matrices is introduced to minimize model conservatism using the knowledge of the aperiodic sampling pattern. Meanwhile, for the purpose of reducing conservatism, an augmented double-sided looped-type Lyapunov functional (ADSLLF) using membership functions information is introduced to take the available information of the actual sampling pattern. Then, by combing the ADSLLF and the proposed free-matrix integral inequality, some sufficient conditions in terms of linear matrix inequalities are derived such that all states of the systems included by an ellipsoid region. Finally, the efficiency and applicability of the approach proposed in this study are demonstrated through the simulation of networked autonomous electric vehicle systems, and its superiority is proven by comparing it with the existing method through the simulation of a well-known Rossler system.