Event-triggered real-time scheduling stabilization of fuzzy systems via a new weighted matrix approach

In this paper, we introduce a new method to reduce the conservativeness of real-time scheduling stabilization for nonlinear systems in terms of T-S fuzzy model. Different from the previous method, a more relaxed stability condition of nonlinear systems is proposed via one weighted matrix approach. This paper adopts a so-called maximum-priority- based control law, which uses the more useful information than those previous results. That is to say , the control law has considered the different roles of the normalized fuzzy weight function at each time instant. Finally, the simulation results of a simple and typical nonlinear system model are provided to further illustrate the effectiveness of this proposed method.