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Download the fantastic book titled Stochastic Control Theory written by Makiko Nisio, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Stochastic Control Theory", which was released on 27 November 2014. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Mathematics genre.

Summary of Stochastic Control Theory by Makiko Nisio PDF

This book offers a systematic introduction to the optimal stochastic control theory via the dynamic programming principle, which is a powerful tool to analyze control problems. First we consider completely observable control problems with finite horizons. Using a time discretization we construct a nonlinear semigroup related to the dynamic programming principle (DPP), whose generator provides the Hamilton–Jacobi–Bellman (HJB) equation, and we characterize the value function via the nonlinear semigroup, besides the viscosity solution theory. When we control not only the dynamics of a system but also the terminal time of its evolution, control-stopping problems arise. This problem is treated in the same frameworks, via the nonlinear semigroup. Its results are applicable to the American option price problem. Zero-sum two-player time-homogeneous stochastic differential games and viscosity solutions of the Isaacs equations arising from such games are studied via a nonlinear semigroup related to DPP (the min-max principle, to be precise). Using semi-discretization arguments, we construct the nonlinear semigroups whose generators provide lower and upper Isaacs equations. Concerning partially observable control problems, we refer to stochastic parabolic equations driven by colored Wiener noises, in particular, the Zakai equation. The existence and uniqueness of solutions and regularities as well as Itô's formula are stated. A control problem for the Zakai equations has a nonlinear semigroup whose generator provides the HJB equation on a Banach space. The value function turns out to be a unique viscosity solution for the HJB equation under mild conditions. This edition provides a more generalized treatment of the topic than does the earlier book Lectures on Stochastic Control Theory (ISI Lecture Notes 9), where time-homogeneous cases are dealt with. Here, for finite time-horizon control problems, DPP was formulated as a one-parameter nonlinear semigroup, whose generator provides the HJB equation, by using a time-discretization method. The semigroup corresponds to the value function and is characterized as the envelope of Markovian transition semigroups of responses for constant control processes. Besides finite time-horizon controls, the book discusses control-stopping problems in the same frameworks.


Detail About Stochastic Control Theory PDF

  • Author : Makiko Nisio
  • Publisher : Springer
  • Genre : Mathematics
  • Total Pages : 250 pages
  • ISBN : 4431551239
  • PDF File Size : 17,6 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Stochastic Control Theory

Stochastic Control Theory
  • Publisher : Springer
  • File Size : 47,6 Mb
  • Release Date : 27 November 2014
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This book offers a systematic introduction to the optimal stochastic control theory via the dynamic programming principle, which is a powerful tool to analyze control problems. First we consider completely

Stochastic Control in Insurance

Stochastic Control in Insurance
  • Publisher : Springer Science & Business Media
  • File Size : 45,6 Mb
  • Release Date : 20 November 2007
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Yet again, here is a Springer volume that offers readers something completely new. Until now, solved examples of the application of stochastic control to actuarial problems could only be found

Stochastic Control in Discrete and Continuous Time

Stochastic Control in Discrete and Continuous Time
  • Publisher : Springer Science & Business Media
  • File Size : 32,8 Mb
  • Release Date : 03 July 2010
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This book contains an introduction to three topics in stochastic control: discrete time stochastic control, i. e. , stochastic dynamic programming (Chapter 1), piecewise - terministic control problems (Chapter 3), and control of

Deterministic and Stochastic Optimal Control

Deterministic and Stochastic Optimal Control
  • Publisher : Springer Science & Business Media
  • File Size : 53,5 Mb
  • Release Date : 06 December 2012
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This book may be regarded as consisting of two parts. In Chapters I-IV we pre sent what we regard as essential topics in an introduction to deterministic optimal control theory.

Control and System Theory of Discrete-Time Stochastic Systems

Control and System Theory of Discrete-Time Stochastic Systems
  • Publisher : Springer Nature
  • File Size : 41,6 Mb
  • Release Date : 02 August 2021
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This book helps students, researchers, and practicing engineers to understand the theoretical framework of control and system theory for discrete-time stochastic systems so that they can then apply its principles

Linear Stochastic Control Systems

Linear Stochastic Control Systems
  • Publisher : CRC Press
  • File Size : 55,5 Mb
  • Release Date : 12 July 1995
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Linear Stochastic Control Systems presents a thorough description of the mathematical theory and fundamental principles of linear stochastic control systems. Both continuous-time and discrete-time systems are thoroughly covered. Reviews of

Stochastic Theory and Control

Stochastic Theory and Control
  • Publisher : Springer
  • File Size : 41,8 Mb
  • Release Date : 01 July 2003
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This volume contains almost all of the papers that were presented at the Workshop on Stochastic Theory and Control that was held at the Univ- sity of Kansas, 18–20 October 2001. This