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  • 1
    Online Resource
    Online Resource
    Cham :Springer International Publishing, | Cham :Springer.
    UID:
    edoccha_BV047552746
    Format: 1 Online-Ressource (XIII, 592 p).
    Edition: 1st ed. 2021
    ISBN: 978-3-030-82331-3
    Series Statement: Probability Theory and Stochastic Modelling 101
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-82330-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-82332-0
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-82333-7
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Cham :Springer International Publishing, | Cham :Springer.
    UID:
    edocfu_BV047552746
    Format: 1 Online-Ressource (XIII, 592 p).
    Edition: 1st ed. 2021
    ISBN: 978-3-030-82331-3
    Series Statement: Probability Theory and Stochastic Modelling 101
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-82330-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-82332-0
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-82333-7
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    Cham :Springer International Publishing, | Cham :Springer.
    UID:
    almafu_BV047552746
    Format: 1 Online-Ressource (XIII, 592 p).
    Edition: 1st ed. 2021
    ISBN: 978-3-030-82331-3
    Series Statement: Probability Theory and Stochastic Modelling 101
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-82330-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-82332-0
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-82333-7
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Springer
    UID:
    b3kat_BV047552746
    Format: 1 Online-Ressource (XIII, 592 p)
    Edition: 1st ed. 2021
    ISBN: 9783030823313
    Series Statement: Probability Theory and Stochastic Modelling 101
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-82330-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-82332-0
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-82333-7
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    UID:
    almahu_9949177485702882
    Format: XIII, 592 p. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9783030823313
    Series Statement: Probability Theory and Stochastic Modelling, 101
    Content: 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.
    Note: 1 Introduction -- 2 Some Preliminaries in Stochastic Calculus -- 3 Stochastic Evolution Equations -- 4 Backward Stochastic Evolution Equations -- 5 Control Problems in Stochastic Distributed Parameter Systems -- 6 Controllability for Stochastic Differential Equations in Finite Dimensions -- 7 Controllability for Stochastic Linear Evolution Equations -- 8 Exact Controllability for Stochastic Transport Equations -- 9 Controllability and Observability of Stochastic Parabolic Systems -- 10 Exact Controllability for a Refined Stochastic Wave Equation -- 11 Exact Controllability for Stochastic Schrödinger Equations -- 12 Pontryagin-Type Stochastic Maximum Principle -- 13 Linear Quadratic Optimal Control Problems -- References -- Index.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783030823306
    Additional Edition: Printed edition: ISBN 9783030823320
    Additional Edition: Printed edition: ISBN 9783030823337
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    UID:
    gbv_1772256943
    Format: 1 Online-Ressource (XIII, 592 p.)
    ISBN: 9783030823313
    Series Statement: Probability Theory and Stochastic Modelling 101
    Content: 1 Introduction -- 2 Some Preliminaries in Stochastic Calculus -- 3 Stochastic Evolution Equations -- 4 Backward Stochastic Evolution Equations -- 5 Control Problems in Stochastic Distributed Parameter Systems -- 6 Controllability for Stochastic Differential Equations in Finite Dimensions -- 7 Controllability for Stochastic Linear Evolution Equations -- 8 Exact Controllability for Stochastic Transport Equations -- 9 Controllability and Observability of Stochastic Parabolic Systems -- 10 Exact Controllability for a Refined Stochastic Wave Equation -- 11 Exact Controllability for Stochastic Schrödinger Equations -- 12 Pontryagin-Type Stochastic Maximum Principle -- 13 Linear Quadratic Optimal Control Problems -- References -- Index.
    Content: 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.
    Additional Edition: ISBN 9783030823306
    Additional Edition: ISBN 9783030823320
    Additional Edition: ISBN 9783030823337
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030823306
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030823320
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030823337
    Additional Edition: Erscheint auch als Druck-Ausgabe Lü, Qi Mathematical control theory for stochastic partial differential equations Cham, Switzerland : Springer Nature, 2021 ISBN 9783030823306
    Language: English
    Subjects: Mathematics
    RVK:
    Library Location Call Number Volume/Issue/Year Availability
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  • 7
    UID:
    b3kat_BV048913605
    Format: XIII, 592 Seiten
    ISBN: 9783030823306 , 9783030823313
    Series Statement: Probability theory and stochastic modelling Volume 101
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-3-030-82331-3
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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