Value iteration and adaptive optimal output regulation with assured convergence rate

In this paper, we investigate the learning-based adaptive optimal output regulation problem with convergence rate requirement for disturbed linear continuous-time systems. An adaptive optimal control approach is proposed based on reinforcement learning and adaptive dynamic programming to learn the o...

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Veröffentlicht in:	Control engineering practice Jg. 121; S. 105042
Hauptverfasser:	Jiang, Yi, Gao, Weinan, Na, Jing, Zhang, Di, Hämäläinen, Timo T., Stojanovic, Vladimir, Lewis, Frank L.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.04.2022
Schlagworte:	Adaptive dynamic programming Assured convergence rate Optimal output regulation Reinforcement learning Value iteration Value iteration Adaptive dynamic programming Optimal output regulation Reinforcement learning Assured convergence rate
ISSN:	0967-0661, 1873-6939
Online-Zugang:	Volltext
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