Dynamic Event-Triggered Integral Sliding Mode Adaptive Optimal Tracking Control for Uncertain Nonlinear Systems

In this paper, we study the event-triggered integral sliding mode optimal tracking problem of nonlinear systems with matched and unmatched disturbances. The goal is to design an adaptive dynamic programming-based sliding-mode controller, which stabilizes closed-loop system guarantees performance dynamics. First, in order remove effects uncertainties, controller designed force state on surface without Zeno behavior. Second, another suppress disturbances a nearly while also guaranteeing Zeno-free Finally, benefits proposed algorithm are shown comparison several traditional triggering learning-based mechanisms.