Event-triggered optimal decentralized control for stochastic interconnected nonlinear systems via adaptive dynamic programming

This paper presents an event-triggered adaptive dynamic programming (ETADP) algorithm to study the optimal decentralized control issue of interconnected nonlinear systems subject to stochastic dynamics. By developing a performance index function for augmented auxiliary subsystem, the primordial cont...

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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 539; S. 126163
Hauptverfasser:	Zhao, Yanwei, Niu, Ben, Zong, Guangdeng, Xu, Ning, Ahmad, Adil M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 28.06.2023
Schlagworte:	Adaptive dynamic programming Artificial intelligence Event-triggered control Identifier-actor-critic networks Stochastic interconnected systems Identifier-actor-critic networks Stochastic interconnected systems Event-triggered control Adaptive dynamic programming Artificial intelligence
ISSN:	0925-2312, 1872-8286
Online-Zugang:	Volltext
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