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By using an event-based intelligent critic mechanism, this paper studies the optimal control problem for disturbed nonlinear continuous-Time multi-input systems. First, the optimal control strategies, the worst disturbance strategy, and the Hamilton-Jacobi-Isaacs (HJI) equation are derived. Then, by introducing the event-Triggered mechanism, the event-based optimal controls, the event-based worst disturbance, and the event-based HJI equation are given. Also, a novel triggering condition is proposed. Moreover, an intelligent critic mechanism is developed to approximately solve the event-based HJI equation, thereby obtaining the event-based near-optimal controls and the event-based approximate worst disturbance. Especially, during neural critic learning, we establish a novel weight updating rule. Finally, an example is given to verify the effectiveness of the established mechanism. © 2023 IEEE.
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年份: 2023
页码: 50-54
语种: 英文
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