Asynchronous output feedback control for fuzzy Markov jump systems with actuator faults and deception attacks

This article studies the output feedback control (OFC) issue for fuzzy Markov jump systems with actuator faults and deception attacks. To describe the nonlinear characteristics, the Takagi-Sugeno (T-S) fuzzy rule scheme is utilized. A general network environment with deception attacks is considered, and Bernoulli distributed variable is adopted to describe the randomly occurring attacks. To alleviate the actuator faults and attacks in the networked data transmission, a new reliable OFC protocol is forwarded to ensure the prescribed system performance. Meanwhile, a hidden Markov model is resorted to treat the nonsynchronous phenomena between system mode and controller mode. By a stochastic Lyapunov function, some criteria are proposed such that the closed-loop dynamic is stochastically stable. Finally, the effectiveness and application of the obtained results are confirmed by a physical mass-spring-damper model.