Stabilization of Nonlinear Polynomial Fuzzy Systems Based on Dynamic-Event-Triggered Output Feedback Controller
Résumé
This paper presents a novel dynamic-event-triggered output-feedback control strategy for stabilizing nonlinear systems represented by polynomial fuzzy models. By incorporating an event-triggering mechanism, the proposed controller significantly reduces unnecessary control updates, thereby lowering computational and communication burdens compared to conventional sampled-data output-feedback controllers. The stability of the closed-loop system is analyzed using a Lyapunov-Krasovskii functional in combination with a sum-of-squares (SOS) optimization framework. The resulting stability conditions ensure asymptotic stability while optimizing resource utilization. Simulation results validate the effectiveness of the proposed method, demonstrating a substantial reduction in control transmissions without sacrificing system stability or performance.