Reliable control design for composite-driven scheme based on delay networked T-S fuzzy system

This paper is focused on reliable controller design for a composite-driven scheme of networked control systems via Takagi-Sugeno fuzzy model with probabilistic actuator fault under time-varying delay. The proposed scheme is distinguished from the other schemes as mentioned in this paper. Aims of this article are to solve the control problem by considering the H-infinity, dissipative, and L-2-L-infinity constraints in a unified way. Firstly, to improve the efficient utilization of bandwidth, the adaptive composite-driven scheme is introduced. In such a scenario, the channel transmission mechanism can be adjusted between adaptive event-triggered generator scheme and time-driven scheme. In this study, the threshold is dependent on a new adaptive law, which can be obtained online rather than a predefined constant. With a constant threshold, it is difficult to get the variation of the system. Secondly, a novel fuzzy Lyapunov-Krasovskii functional is constructed to design the fuzzy controller, and delay-dependent conditions for stability and performance analysis of the control system are obtained. Then, LMI-based conditions for the existence of the desired fuzzy controller are presented. Finally, an inverted pendulum that is controlled through the channel is provided to illustrate the effectiveness of the proposed method.