Mathematical Control Theory for Stochastic Partial Differential Equations (Probability Theory and Stochastic Modelling)

Lü, Qi/ Zhang, Xu

Springer Nature Switzerland AG（2022/09発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 592 p.
• 商品コード 9783030823337

Full 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.

Contents

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.