Overview
- Provides a luckd introduction to optimal stochastic control for continuous time Markov processes and to the theory of viscosity solutions
- Also offers a concise introduction to risk-sensitive control theory, nonlinear H-infinity control and differential games
- Several all-new chapters have been added, and others completely rewritten
- For the Second Edition, new material has been added on application to mathematical finance
Part of the book series: Stochastic Modelling and Applied Probability (SMAP, volume 25)
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Table of contents (11 chapters)
Keywords
About this book
This book is intended as an introduction to optimal stochastic control for continuous time Markov processes and to the theory of viscosity solutions. Stochastic control problems are treated using the dynamic programming approach. The authors approach stochastic control problems by the method of dynamic programming. The fundamental equation of dynamic programming is a nonlinear evolution equation for the value function. For controlled Markov diffusion processes, this becomes a nonlinear partial differential equation of second order, called a Hamilton-Jacobi-Bellman (HJB) equation. Typically, the value function is not smooth enough to satisfy the HJB equation in a classical sense. Viscosity solutions provide framework in which to study HJB equations, and to prove continuous dependence of solutions on problem data. The theory is illustrated by applications from engineering, management science, and financial economics.
In this second edition, new material on applications to mathematical finance has been added. Concise introductions to risk-sensitive control theory, nonlinear H-infinity control and differential games are also included.
Review of the earlier edition:
"This book is highly recommended to anyone who wishes to learn the dinamic principle applied to optimal stochastic control for diffusion processes. Without any doubt, this is a fine book and most likely it is going to become a classic on the area... ."
SIAM Review, 1994
Authors and Affiliations
Bibliographic Information
Book Title: Controlled Markov Processes and Viscosity Solutions
Authors: Wendell H. Fleming, H.M. Soner
Series Title: Stochastic Modelling and Applied Probability
DOI: https://doi.org/10.1007/0-387-31071-1
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag New York 2006
Hardcover ISBN: 978-0-387-26045-7Published: 17 November 2005
Softcover ISBN: 978-1-4419-2078-2Published: 19 November 2010
eBook ISBN: 978-0-387-31071-8Published: 04 February 2006
Series ISSN: 0172-4568
Series E-ISSN: 2197-439X
Edition Number: 2
Number of Pages: XVII, 429
Topics: Probability Theory and Stochastic Processes, Systems Theory, Control, Control, Robotics, Mechatronics, Operations Research/Decision Theory, Quantitative Finance