Event-triggered control of Takagi-Sugeno fuzzy systems under deception attacks

This article handles the problem of periodic event-triggered control co-design for the stabilization of Takagi-Sugeno fuzzy models subject to stochastic deception attacks whose occurrence follows a given Bernoulli distribution. A novel delay-dependent condition is presented to simultaneously design the event-triggering mechanism and the state-feedback controller to ensure the local mean-square asymptotic stability of the closed-loop system. The co-design condition is derived as linear matrix inequalities by considering Lyapunov-Krasovskii stability arguments. In addition, an optimization procedure is provided to estimate an enlarged set of admissible initial conditions and the corresponding ultimate bound within the validity domain of the fuzzy model. Finally, numerical examples are provided to demonstrate the effectiveness of the proposed approach.