Control Design Of Nonlinear Networked Control Systems Via Takagi-Sugeno Fuzzy Model

The paper discusses control design of nonlinear networked systems which are described by the Takagi-Sugeno fuzzy time-delay systems. In the networked control system, the information is exchanged with packets through a network where the data packets encounter delays. Sine the control signal is delayed, the closed-loop system with the controller can be modeled as a fuzzy system with time-varying delays in sensor and actuator modes. Based on Lyapunov-Krasovskii stability theorem, the control design problem of a nonlinear networked control system which has time-varying delays is considered. Multiple Lyapunov-Krasovskii function with multiple integral functions allows us to obtain drastically less conservative conditions for a networked control system to be asymptotically stable. Based on this approach, a novel control design method for a networked control system is proposed.