Event-Triggered H ∞ Control for Continuous-Time Nonlinear System
In this paper, the H ∞ optimal control for a class of continuous-time nonlinear systems is investigated using event-triggered method. First, the H ∞ optimal control problem is formulated as a two-player zero-sum differential game. Then, an adaptive triggering condition is derived for the closed loop system with an event-triggered control policy and a time-triggered disturbance policy. For implementation purpose, the event-triggered concurrent learning algorithm is proposed, where only one critic neural network is required. Finally, an illustrated example is provided to demonstrate the effectiveness of the proposed scheme.
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