Event-triggered h∞ control for continuous-time nonlinear system

Abstract

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 twoplayer 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.