Computer and Information Science » Numerical Analysis and Scientific Computing

Stochastic Control

Edited by Chris Myers, ISBN 978-953-307-121-3, 660 pages, Publisher: Sciyo, Chapters published August 17, 2010 under CC BY-NC-SA 3.0 license
DOI: 10.5772/56634
Edited Volume

Uncertainty presents significant challenges in the reasoning about and controlling of complex dynamical systems. To address this challenge, numerous researchers are developing improved methods for stochastic analysis. This book presents a diverse collection of some of the latest research in this important area. In particular, this book gives an overview of some of the theoretical methods and tools for stochastic analysis, and it presents the applications of these methods to problems in systems theory, science, and economics.