Resilient sampled-data dynamic output feedback control of Takagi–Sugeno fuzzy systems under denial-of-service attacks

This paper investigates the problem of dynamic output feedback control for Takagi–Sugeno (T-S) fuzzy systems under denial-of-service (DoS) attacks. First, a resilient sampled-data method is designed to resist the effect of DoS attacks. Then, a maximum DoS attack rate is proposed to evaluate the system resistance to attacks. Next, a cooperative framework is used to describe T-S fuzzy model, resilient sampling mechanisms, and DoS attacks. By using the interval property of resilient sampling, the associated Lyapunov function is constructed and the stability of the T-S fuzzy system is proved by combining inequality and convex combination techniques. In addition, a linear matrix inequality technique is utilized to find controller gains. Finally, a numerical simulation verifies the correctness of that proposed control strategy.