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Title: Weak closed-loop solvability of stochastic linear quadratic optimal control problems of Markovian regime switching system
Authors: Wen, J
Li, X 
Xiong, J
Issue Date: Aug-2021
Source: Applied mathematics and optimization, Aug. 2021, v. 84, no. 1, p. 535-565
Abstract: In this paper, we investigate open-loop and weak closed-loop solvabilities of stochastic linear quadratic (LQ, for short) optimal control problem of Markovian regime switching system. Interestingly, these two solvabilities are equivalent on [0, T). We first provide an alternative characterization of the open-loop solvability of LQ problem using a perturbation approach. Then, we study the weak closed-loop solvability of LQ problem of Markovian regime switching system, and establish the equivalent relationship between open-loop and weak closed-loop solvabilities. Finally, we present an example to shed on light on finding weak closed-loop optimal strategies within the framework of Markovian regime switching system.
Keywords: Markovian regime switching
Open-loop solvability
Riccati equation
Stochastic linear quadratic optimal control
Weak closed-loop solvability
Publisher: Springer
Journal: Applied mathematics and optimization 
ISSN: 0095-4616
EISSN: 1432-0606
DOI: 10.1007/s00245-020-09653-8
Rights: © Springer Science+Business Media, LLC, part of Springer Nature 2020
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s00245-020-09653-8
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