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Mathematical Control Theory Stochastic by Zhang (15 results)
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Mathematical Control Theory for Stochastic Partial Differential Equations (Probability Theory and Stochastic Modelling, 101)
Book 34 of 35: Probability Theory and Stochastic ModellingSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 136.79
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Mathematical Control Theory for Stochastic Partial Differential Equations (Probability Theory and Stochastic Modelling)
Book 34 of 35: Probability Theory and Stochastic ModellingSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 136.79
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Mathematical Control Theory for Stochastic Partial Differential Equations
Book 34 of 35: Probability Theory and Stochastic ModellingLanguage: English
Published by Springer International Publishing, 2022
ISBN 10: 3030823334 ISBN 13: 9783030823337
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This is the first book to systematically present control theory for stochastic distributed parameter systems, a comparatively new branch of mathematical control theory. The new phenomena and difficulties arising in the study of controllability and optimal control problems for this type of system are explained in detail. Interestingly enough, one has to develop new mathematical tools to solve some problems in this field, such as the global Carleman estimate for stochastic partial differential equations and the stochastic transposition method for backward stochastic evolution equations. In a certain sense, the stochastic distributed parameter control system is the most general control system in the context of classical physics. Accordingly, studying this field may also yield valuable insights into quantum control systems.A basic grasp of functional analysis, partial differential equations, and control theory for deterministic systems is the only prerequisite for reading this book.
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Mathematical Control Theory for Stochastic Partial Differential Equations
Book 34 of 35: Probability Theory and Stochastic ModellingLanguage: English
Published by Springer International Publishing, 2021
ISBN 10: 303082330X ISBN 13: 9783030823306
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This is the first book to systematically present control theory for stochastic distributed parameter systems, a comparatively new branch of mathematical control theory. The new phenomena and difficulties arising in the study of controllability and optimal control problems for this type of system are explained in detail. Interestingly enough, one has to develop new mathematical tools to solve some problems in this field, such as the global Carleman estimate for stochastic partial differential equations and the stochastic transposition method for backward stochastic evolution equations. In a certain sense, the stochastic distributed parameter control system is the most general control system in the context of classical physics. Accordingly, studying this field may also yield valuable insights into quantum control systems.A basic grasp of functional analysis, partial differential equations, and control theory for deterministic systems is the only prerequisite for reading this book.
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Paperback. Condition: Brand New. 605 pages. 9.25x6.10x1.42 inches. In Stock.
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Hardcover. Condition: Brand New. 605 pages. 9.25x6.10x9.21 inches. In Stock.
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Mathematical Control Theory for Stochastic Partial Differential Equations
Book 34 of 35: Probability Theory and Stochastic ModellingLanguage: English
Published by Springer International Publishing Sep 2021, 2021
ISBN 10: 303082330X ISBN 13: 9783030823306
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is the first book to systematically present control theory for stochastic distributed parameter systems, a comparatively new branch of mathematical control theory. The new phenomena and difficulties arising in the study of controllability and optimal control problems for this type of system are explained in detail. Interestingly enough, one has to develop new mathematical tools to solve some problems in this field, such as the global Carleman estimate for stochastic partial differential equations and the stochastic transposition method for backward stochastic evolution equations. In a certain sense, the stochastic distributed parameter control system is the most general control system in the context of classical physics. Accordingly, studying this field may also yield valuable insights into quantum control systems.A basic grasp of functional analysis, partial differential equations, and control theory for deterministic systems is the only prerequisite for reading this book. 608 pp. Englisch.
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Mathematical Control Theory for Stochastic Partial Differential Equations
Book 34 of 35: Probability Theory and Stochastic ModellingLanguage: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3030823334 ISBN 13: 9783030823337
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is the first book to systematically present control theory for stochastic distributed parameter systems, a comparatively new branch of mathematical control theory. The new phenomena and difficulties arising in the study of controllability and optimal c.
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Mathematical Control Theory for Stochastic Partial Differential Equations
Book 34 of 35: Probability Theory and Stochastic ModellingLanguage: English
Published by Springer International Publishing Sep 2022, 2022
ISBN 10: 3030823334 ISBN 13: 9783030823337
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is the first book to systematically present control theory for stochastic distributed parameter systems, a comparatively new branch of mathematical control theory. The new phenomena and difficulties arising in the study of controllability and optimal control problems for this type of system are explained in detail. Interestingly enough, one has to develop new mathematical tools to solve some problems in this field, such as the global Carleman estimate for stochastic partial differential equations and the stochastic transposition method for backward stochastic evolution equations. In a certain sense, the stochastic distributed parameter control system is the most general control system in the context of classical physics. Accordingly, studying this field may also yield valuable insights into quantum control systems.A basic grasp of functional analysis, partial differential equations, and control theory for deterministic systems is the only prerequisite for reading this book. 608 pp. Englisch.
-
Mathematical Control Theory for Stochastic Partial Differential Equations
Book 34 of 35: Probability Theory and Stochastic ModellingLanguage: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 303082330X ISBN 13: 9783030823306
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is the first book to systematically present control theory for stochastic distributed parameter systems, a comparatively new branch of mathematical control theory.This is the first book to systematically present control theory for stochastic distri.
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