Event-triggered reliable [formula omitted] control for a class of nonlinear distributed parameter systems within a finite-time interval.

This study tackles event-triggered finite-time reliable control for nonlinear distributed parameter systems (DPSs) with Markovian jumping actuator failures. Initially, a Takagi–Sugeno fuzzy model is applied to describe the considered nonlinear DPSs. In contrast with parallel-distributed-compensation technique, the premise variables of the constructed fuzzy controller are asynchronous with the original system, because of complex network circumstances. Then, to reduce communication burden, a new event-triggered strategy is employed to regulate the transmitted instants of the sampled data. Furthermore, several conditions, which assure that the closed-loop systems are stochastically finite-time bounded with H ∞ disturbance attenuation performance, are given in forms of linear matrix inequalities. In addition, the desired controller can be achieved based on the result of stability analysis. Finally, two simulation studies are provided to demonstrate the effectiveness of the developed method. [ABSTRACT FROM AUTHOR]