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Mathematical Control Theory For Stochastic Partial Differential Equations (Probability Theory And Stochastic Modelling)

Mathematical Control Theory For Stochastic Partial Differential Equations (Probability Theory And Stochastic Modelling)

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Product Details
Author:
Qi Lü, Xu Zhang
Publisher:
Springer
Publication Date:
Sep 18, 2022
Number of pages:
608 pages
Language:
English
Binding:
Paperback
ISBN-10:
3030823334
ISBN-13:
9783030823337

Overview

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.


  • | Author: Qi Lü, Xu Zhang
  • | Publisher: Springer
  • | Publication Date: Sep 18, 2022
  • | Number of Pages: 608 pages
  • | Language: English
  • | Binding: Paperback
  • | ISBN-10: 3030823334
  • | ISBN-13: 9783030823337

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