Dimension reduction based adaptive dynamic programming for optimal control of discrete-time nonlinear control-affine systems

Dynamic programming based methods have been widely used in solving discrete-time nonlinear constrained optimal control problems. However, applying these methods in real-time is challenging because a large amount of memory is needed and the associated computational cost is high. Here, a search space...

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Vydané v:	International journal of control Ročník 96; číslo 11; s. 2799 - 2811
Hlavní autori:	Li, Qiang, Xu, Yunjun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Abingdon Taylor & Francis 02.11.2023 Taylor & Francis Ltd
Predmet:	Adaptive control adaptive dynamic programming Algorithms Closed loops Computational efficiency Computing costs Control theory control-affine system Discrete time systems Dynamic programming Feedback control Inverse dynamics Iterative methods Nonlinear constrained optimal control Nonlinear control Nonlinear systems Optimal control Optimization real-time control uncertainty
ISSN:	0020-7179, 1366-5820
On-line prístup:	Získať plný text
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