Weak Closed-loop Solvability for Discrete-time Stochastic Linear-Quadratic Optimal Control Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2502.16229
In this paper, the solvability of discrete-time stochastic linear-quadratic (LQ) optimal control problem in finite horizon is considered. Firstly, it shows that the closed-loop solvability for the LQ control problem is optimal if and only if the generalized Riccati equation admits a regular solution by solving the forward and backward difference equations iteratively. To this ends, it finds that the open-loop solvability is strictly weaker than closed-loop solvability, that is, the LQ control problem is always open-loop optimal solvable if it is closed-loop optimal solvable but not vice versa. Secondly, by the perturbation method, it proves that the weak-closed loop strategy which is a feedback form of a state feedback representation is equivalent to the open-loop solvability of the LQ control problem. Finally, an example sheds light on the theoretical results established.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2502.16229
- https://arxiv.org/pdf/2502.16229
- OA Status
- green
- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4414838833Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2502.16229Digital Object Identifier
- Title
-
Weak Closed-loop Solvability for Discrete-time Stochastic Linear-Quadratic Optimal ControlWork title
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preprintOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-02-22Full publication date if available
- Authors
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Yu-E Sun, Xianping Wu, Xun LiList of authors in order
- Landing page
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https://arxiv.org/abs/2502.16229Publisher landing page
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https://arxiv.org/pdf/2502.16229Direct link to full text PDF
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0Total citation count in OpenAlex
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