Dynamic Event-Triggered Robust Optimal Control for Nonlinear Switched Systems with Perturbations

Le résumé fourni par la source

This paper proposes an optimal dynamic event-triggered robust control (ETRC) strategy for nonlinear switched systems with perturbations. By introducing a performance index function for the nominal switched system, the robust control problem is transformed into an equivalent optimal control problem. Meanwhile, the proposed controller integrates an adaptive switching mechanism that dynamically selects the active subsystem based on real-time comparisons of the cost function. To solve this hybrid optimal ETRC problem, we leverage an adaptive dynamic programming (ADP) framework combined with dynamic event-triggering (DET) mechanism. A single-layer critic neural network (NN) is employed to approximate the cost function. The stability of the switched system and the boundedness of the NN weights are theoretically guaranteed using Lyapunov analysis, ensuring that both remain uniformly ultimately bounded (UUB). Finally, the simulation results demonstrate the effectiveness and computational efficiency of the proposed dynamic ETRC strategy.

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