• Title: Discrete-Event Control of Stochastic Networks: Multimodularity and Regularity
• Author(s) Eitan Altman, Bruno Gaujal, Arie Hordijk
• Publisher: Springer; 2003 edition (November 17, 2003); eBook (Final Draft)
• Permission: Link to Final Draft at Author's Homepage.
• Paperback: 316 pages
• eBook: PDF (325 pages)
• Language: English
• ISBN-10: 3540203583
• ISBN-13: 978-3540203582
• Share This:  

Book Description

Opening new directions in research in both discrete event dynamic systems as well as in stochastic control, this volume focuses on a wide class of control and of optimization problems over sequences of integer numbers.

This is a counterpart of convex optimization in the setting of discrete optimization. The theory developed is applied to the control of stochastic discrete-event dynamic systems. Some applications are admission, routing, service allocation and vacation control in queuing networks.

Pure and applied mathematicians will enjoy reading the book since it brings together many disciplines in mathematics: combinatorics, stochastic processes, stochastic control and optimization, discrete event dynamic systems, algebra.

• N/A

• Amazon

• Control Theory and Systems
• Discrete and Finite Mathematics
• Probability and Stochastic Processes
• Applied Mathematics

• Discrete-Event Control of Stochastic Networks (Eitan Altman, et al)
• The Mirror Site (1) - PDF, ePub, Kinle, etc.
• The Mirror Site (2) - PDF

• Control Theory Tutorial: Illustrated by Software Examples

  This open access book introduces the basic principles of control theory in a concise self-study guide. It complements the classic texts by emphasizing the simple conceptual unity of the subject. A novice can quickly see how and why the different parts fit together.

• Mathematical Control Theory (Eduardo D. Sontag)

  This book covers what constitutes the common core of control theory and is unique in its emphasis on foundational aspects. While covering a wide range of topics written in a standard theorem/proof style, it also develops the necessary techniques from scratch.

• Feedback Control Theory (John C. Doyle, et al)

  An excellent introduction to feedback control system design, this book offers a theoretical approach that captures the essential issues and can be applied to a wide range of practical problems.

• Stochastic Modeling and Control (Ivan Ganchev Ivanov)

  The book provides a self-contained treatment on practical aspects of stochastic modeling and calculus including applications drawn from engineering, statistics, and computer science.