Nonzero-sum games using actor-critic neural networks: A dynamic event-triggered adaptive dynamic programming

This paper mainly investigates the nonzero-sum games of nonlinear systems with unmatched uncertainty by using actor-critic neural networks. To handle the unmatched components, an auxiliary system with a modified value function is constructed, which transforms the robust stabilization issue into the...

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Veröffentlicht in:	Information sciences Jg. 662; S. 120236
Hauptverfasser:	Shen, Hao, Li, Ziwei, Wang, Jing, Cao, Jinde
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.03.2024
Schlagworte:	Actor-critic neural networks Adaptive dynamic programming Dynamic event-triggered mechanism Nonzero-sum games Nonzero-sum games Actor-critic neural networks Adaptive dynamic programming Dynamic event-triggered mechanism
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
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