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Optimal Feedback for Stochastic Linear Quadratic Control and Backward Stochastic Riccati Equations in Infinite Dimensions - Couverture souple
Synopsis
It is a longstanding unsolved problem to characterize the optimal feedbacks for general SLQs (i.e., stochastic linear quadratic control problems) with random coefficients in infinite dimensions; while the same problem but in finite dimensions was just addressed very recently. This paper is devoted to giving a solution to this problem under some assumptions which can be verified for interesting concrete models. More precisely, under these assumptions, we establish the equivalence between the existence of optimal feedback operator for infinite dimensional SLQs and the solvability of the corresponding operator-valued, backward stochastic Riccati equations. A key contribution of this work is to introduce a suitable notion of solutions (i.e., transposition solutions to the aforementioned Riccati equations), which plays a crucial role in both the statement and the proof of our main results.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Qi Lu, Sichuan University, Chengdu, People's Republic of China.
Xu Zhang, Sichuan University, Chengdu, People's Republic of China.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Optimal Feedback For Stochastic Linear Quadratic Control And Backward Stochastic Riccati Equations In Infinite Dimensions
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Optimal Feedback for Stochastic Linear Quadratic Control and Backward Stochastic Riccati Equations in Infinite Dimensions
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ISBN 13 : 9781470468750
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Paperback. Etat : New. It is a longstanding unsolved problem to characterize the optimal feedbacks for general SLQs (i.e., stochastic linear quadratic control problems) with random coefficients in infinite dimensions; while the same problem but in finite dimensions was just addressed very recently. This paper is devoted to giving a solution to this problem under some assumptions which can be verified for interesting concrete models. More precisely, under these assumptions, we establish the equivalence between the existence of optimal feedback operator for infinite dimensional SLQs and the solvability of the corresponding operator-valued, backward stochastic Riccati equations. A key contribution of this work is to introduce a suitable notion of solutions (i.e., transposition solutions to the aforementioned Riccati equations), which plays a crucial role in both the statement and the proof of our main results. N° de réf. du vendeur LU-9781470468750
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Optimal Feedback for Stochastic Linear Quadratic Control and Backward Stochastic Riccati Equations in Infinite Dimensions
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Optimal Feedback For Stochastic Linear Quadratic Control And Backward Stochastic Riccati Equations In Infinite Dimensions
ISBN 10 : 1470468751
ISBN 13 : 9781470468750
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Optimal Feedback For Stochastic Linear Quadratic Control And Backward Stochastic Riccati Equations In Infinite Dimensions
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Optimal Feedback for Stochastic Linear Quadratic Control and Backward Stochastic Riccati Equations in Infinite Dimensions: Volume: 294 Number: 1467 (Memoirs of the American Mathematical Society)
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Optimal Feedback for Stochastic Linear Quadratic Control and Backward Stochastic Riccati Equations in Infinite Dimensions
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ISBN 13 : 9781470468750
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Optimal Feedback For Stochastic Linear Quadratic Control And Backward Stochastic Riccati Equations In Infinite Dimensions
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ISBN 13 : 9781470468750
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Optimal Feedback for Stochastic Linear Quadratic Control and Backward Stochastic Riccati Equations in Infinite Dimensions
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Optimal Feedback for Stochastic Linear Quadratic Control and Backward Stochastic Riccati Equations in Infinite Dimensions
Edité par
American Mathematical Society, US, 2024
ISBN 10 : 1470468751
ISBN 13 : 9781470468750
Neuf
Paperback
Vendeur : Rarewaves.com UK, London, Royaume-Uni
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Paperback. Etat : New. It is a longstanding unsolved problem to characterize the optimal feedbacks for general SLQs (i.e., stochastic linear quadratic control problems) with random coefficients in infinite dimensions; while the same problem but in finite dimensions was just addressed very recently. This paper is devoted to giving a solution to this problem under some assumptions which can be verified for interesting concrete models. More precisely, under these assumptions, we establish the equivalence between the existence of optimal feedback operator for infinite dimensional SLQs and the solvability of the corresponding operator-valued, backward stochastic Riccati equations. A key contribution of this work is to introduce a suitable notion of solutions (i.e., transposition solutions to the aforementioned Riccati equations), which plays a crucial role in both the statement and the proof of our main results. N° de réf. du vendeur LU-9781470468750
Quantité disponible : 6 disponible(s)