Téléchargez le livre : Mathematical Control Theory for Stochastic Partial Differential Equations

Mathematical Control Theory for Stochastic Partial Differential Equations

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Éditeur :

Springer


Collection :

Probability Theory and Stochastic Modelling

Paru le : 2021-09-17

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158,24 €
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Description
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.
Pages
592 pages
Collection
Probability Theory and Stochastic Modelling
Parution
2021-09-17
Marque
Springer
EAN papier
9783030823306
EAN PDF
9783030823313
Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
59
Taille du fichier
7291 Ko
Prix
158,24 €

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