Hybrid-driven-based resilient control for networked T-S fuzzy systems with time-delay and cyber-attacks

This work investigates design problem of the hybrid-triggered-based resilient controller for a class of Takagi–Sugeno (T-S) fuzzy systems subject to nondeterministic cyber-attacks, probabilistic time-delay, controller gain variations and actuator failures in which nondeterministic cyber-attacks and hybrid-triggered mechanism are implemented by probabilistic variables gratifying the Bernoulli distributions. To save the network resources, a new kind of hybrid-triggered-based resilient controller design is introduced. By employing Lyapunov technique together with improved Wirtinger's integral inequalities and event-generator function, new delay-dependent sufficient conditions are constructed which assures that the resulting closed-loop system is mean square asymptotically stable and satisfies a prescribed performance. At last, two numerical examples are provided to display the effectiveness and advantage of the constructed method.