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...

Celý popis

Podrobná bibliografia

Vydané v:	Information sciences Ročník 662; s. 120236
Hlavní autori:	Shen, Hao, Li, Ziwei, Wang, Jing, Cao, Jinde
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.03.2024
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!