Event-triggered control for fuzzy Markov jump systems with deception attack

In this study, we focus on the deception attack-based output-feedback control for fuzzy Markov jump systems with an event-triggered protocol. It should be noted that deception attack is described by a Bernoulli process and is assumed to cause the output feedback signal to be altered. In order to improve resource utilization and control performance, reduce communication burden, an event-triggered protocol is proposed. Additionally, in unreliable networks, phenomena such as data transmission might experience delays. Therefore, a time-delay system is considered in this study. Then, a hidden-Markov-model-based asynchronous fuzzy controller is designed since the controller may not have full access to the mode information of the system. A parameter-dependent Lyapunov function is introduced to ensure the stochastic stability of the closed-loop system. Finally, a numerical example is designed to testify the effectiveness of the presented approach.