Event-Triggered Adaptive Dynamic Programming for Unmatched Uncertain Nonlinear Continuous-Time Systems.

IEEE Transactions on Neural Networks and Learning Systems(2021)

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摘要
In this article, an event-triggered adaptive dynamic programming (ADP) method is proposed to solve the robust control problem of unmatched uncertain systems. First, the robust control problem with unmatched uncertainties is transformed into the optimal control design for an auxiliary system. Subsequently, to reduce controller executions and save computational and communication resources, an event-...
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关键词
Uncertainty,Artificial neural networks,Robustness,Mathematical model,Dynamic programming,Robust control,Optimal control
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