Mathematical control theory for stochastic partial differential equations [electronic resource]

• 作者： Lu, Qi.
• 其他作者：
  • Zhang, Xu.
  • SpringerLink (Online service)
• 其他題名：
  • Probability theory and stochastic modelling ;
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： Probability theory and stochastic modelling,v.101
• 主題： Stochastic control theory. , Stochastic differential equations. , Distributed parameter systems. , Systems Theory, Control. , Calculus of Variations and Optimal Control; Optimization. , Probability Theory and Stochastic Processes. , Partial Differential Equations.
• ISBN： 9783030823313 (electronic bk.) 、 9783030823306 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: 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 Schrodinger Equations -- 12 Pontryagin-Type Stochastic Maximum Principle -- 13 Linear Quadratic Optimal Control Problems -- References -- Index.
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• 摘要註: 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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