Event-Triggered Adaptive Dynamic Programming for Continuous-Time Nonlinear Two-Player Zero-Sum Game
In this paper, an event-triggered adaptive dynamic programming (ADP) algorithm is developed to solve the two-player zero-sum game problem of continuous-time nonlinear systems. First, a critic neural network is employed to approximate the optimal value function. Then, an event-triggered ADP method is proposed, which guarantees the stability of the closed-loop system. The developed method can save the amount of computation as the control law and disturbance law that update only when the pre-designed triggering condition is violated. Finally, its effectiveness is verified through simulation results.
KeywordsEvent-triggering control Adaptive dynamic programming Two-player zero-sum game Hamilton-Jacobi-Isaacs equation
This work was supported in part by the National Natural Science Foundation of China under Grants 61873350, 61503377, 61533017 and U1501251.
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