Dissipative fuzzy control of nonlinear networked control systems with multiple packet dropout

In this paper, a dynamic output feedback-based fuzzy controller is developed for a class of nonlinear network control system where disturbances and multiple random data dropouts exist. Firstly, the network control system is modeled using Takagi-Sugeno fuzzy rules. Meanwhile, the defective communication links with packets loss in both channels, from the sensor to the controller and from the controller to the actuator, are modeled by stochastic binary switching variables with known probability distributions. Then, by using linear matrix inequality method, the sufficient conditions for the existence of the fuzzy controller, the fuzzy robust controller are designed to guarantee the stability of the closed-loop system.