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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Vydané v:	Control engineering practice Ročník 121; s. 105042
Hlavní autori:	Jiang, Yi, Gao, Weinan, Na, Jing, Zhang, Di, Hämäläinen, Timo T., Stojanovic, Vladimir, Lewis, Frank L.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.04.2022
Predmet:	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
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