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• W2900781850 abstract "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." @default.
• W2900781850 created "2018-11-29" @default.
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• W2900781850 date "2018-01-01" @default.
• W2900781850 modified "2023-10-16" @default.
• W2900781850 title "Event-Triggered Adaptive Dynamic Programming for Continuous-Time Nonlinear Two-Player Zero-Sum Game" @default.
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• W2900781850 doi "https://doi.org/10.1007/978-3-030-04239-4_2" @default.
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