Event-based security control for T-S fuzzy Markov jump systems with partly unknown transition probabilities against DoS attacks

This paper addresses the event-based security control problem for Takagi-Sugeno (T-S) fuzzy Markov jump systems with partially unknown transition probabilities and time-varying delays under denial-of-service (DoS) attacks. An event-triggered mechanism related to the system model is proposed, aiming to optimize the utilization efficiency of network resources. In addition, the interference effects of random DoS attacks on signaling in the feedback channel are explored. By constructing Lyapunov-Krasovskii (L-K) functional, stability conditions with guaranteed cost performance constraints are derived. Moreover, the controller gains and event-triggered parameters are co-designed. Finally, a numerical example illustrates the effectiveness of the proposed control strategy.