This book aims to further develop the theory of stochastic functional inclusions and their applications for describing the solutions of the initial and boundary value problems for partial differential inclusions.The self-contained volume is designed to introduce the readerin a systematic fashion,to new methods of the stochastic optimal control theory from the very beginning. The expositioncontains detailed proofs and uses new and original methods to characterize the properties of stochastic functional inclusions that, up to the present time, have only beenpublished recently by the author. The workis divided into seven chapters, with the first two acting as an introduction, containing selected material dealing with point- and set-valued stochastic processes, and the final two devoted to applications and optimal control problems. The book presents recent and pressing issues in stochastic processes, control, differential games, optimization and their application in finance, manufacturing, queueing networks, and climate control. Written by an award-winning author in the field of stochastic differential inclusions and their application to control theory, This book is intended for students andresearchers in mathematics and applications; particularly those studying optimal control theory. It is also highly relevant for students of economics and engineering.The bookcan also be used as a reference on stochastic differential inclusions. Knowledge of select topics in analysis and probability theory are required.
About the Author
Michał Kisielewicz is the author of over 70 articles on subjects including ordinary differential equations, systems theory, calculus of variations and optimal control, and probability theory and stochastic processes. He is a professor of mathematics at the University of Zielona Góra in Poland. In 2001, he was awarded the Order of Polonia Restituta, one of Poland's highest orders, for his achievements.
Table of ContentsPreface.- List of Symbols.- 1. Stochastic Processes.- 2. Set-Valued Stochastic Processes.- 3. Set-Valued Stochastic Intergrals.- 4. Stochastic Differential Inclusions.- 5.Viability Theory.- 6. Partial Differential Inclusions.- 7. Some Optimal Control Problems.- Bibliography.- Subject Index.