Introduction to Discrete Event Systems / Edition 2

Introduction to Discrete Event Systems / Edition 2

ISBN-10:
0387333320
ISBN-13:
9780387333328
Pub. Date:
12/14/2009
Publisher:
Springer US
ISBN-10:
0387333320
ISBN-13:
9780387333328
Pub. Date:
12/14/2009
Publisher:
Springer US
Introduction to Discrete Event Systems / Edition 2

Introduction to Discrete Event Systems / Edition 2

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Overview

This book is a comprehensive introduction to the field of discrete event systems, offering a breadth of coverage that makes the material accessible to readers of varied backgrounds. The book emphasizes a unified modeling framework that transcends specific application areas, linking the following topics in a coherent manner: language and automata theory, supervisory control, Petri net theory, Markov chains and queuing theory, amd more.


Product Details

ISBN-13: 9780387333328
Publisher: Springer US
Publication date: 12/14/2009
Edition description: 2nd Corrected ed. 2008, Corr. 3rd printing 2009
Pages: 772
Product dimensions: 7.01(w) x 10.00(h) x 0.06(d)

About the Author

Christos G. Cassandras is Professor of Manufacturing Engineering and Professor of Electrical and Computer Engineering at Boston University. He received degrees from Yale University (B.S., 1977), Stanford University (M.S.E.E., 1978), and Harvard University (S.M., 1979; Ph.D., 1982). In 1982-84 he was with ITP Boston, Inc. where he worked on the design of automated manufacturing systems. In 1984-1996 he was a faculty member at the Department of Electrical and Computer Engineering, University of Massachusetts/Amherst. He specializes in the areas of discrete event and hybrid systems, shastic optimization, and computer simulation, with applications to computer and sensor networks, manufacturing systems, and transportation systems. He has published over 200 refereed papers in these areas, and two textbooks. He has guest-edited several technical journal issues and serves on several journal Editorial Boards. Dr. Cassandras is currently Editor-in-Chief of the IEEE Transactions on Automatic Control and has served as Editor for Technical Notes and Correspondence and Associate Editor. He is a member of the IEEE CSS Board of Governors, chaired the CSS Technical Committee on Control Theory, and served as Chair of several conferences. He has been a plenary speaker at various international conferences, including the American Control Conference in 2001 and the IEEE Conference on Decision and Control in 2002. He is the recipient of several awards, including the 1999 Harold Chestnut Prize (IFAC Best Control Engineering Textbook) for Discrete Event Systems: Modeling and Performance Analysis, and a 1991 Lilly Fellowship. He is a member of Phi Beta Kappa and Tau Beta Pi. He is also a Fellow of the IEEE.

Stéphane Lafortune is Professor of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. He received degrees from Ecole Polytechnique de Montréal (B.Eng., 1980), McGill University (M.Eng., 1982), and the University of California atBerkeley (Ph.D., 1986). He joined the University of Michigan in 1986. He specializes in the areas of discrete event systems, fault diagnosis, supervisory control, and optimization, with applications to communication networks and transportation systems. He has published over 130 refereed papers in these areas, and one textbook. Dr. Lafortune is currently Department Editor of the Journal of Discrete Event Dynamic Systems: Theory and Applications. He served as Associate Editor and Associate-Editor-at-Large of the IEEE Transactions on Automatic Control in the period 1993-1999. He was a plenary speaker at various international meetings, including the 1996 International Workshop on Discrete Event Systems (WODES’96). He is the recipient of several awards, including the 1994 and 2001 George S. Axelby Outstanding Paper Awards from the IEEE Control Systems Society. He is a Fellow of the IEEE.

Table of Contents

Systems and Models.- Languages and Automata.- Supervisory Control.- Petri Nets.- Timed and Hybrid Models.- Shastic Timed Automata.- Markov Chains.- to Queueing Theory.- Controlled Markov Chains.- to Discrete-Event Simulation.- Sensitivity Analysis and Concurrent Estimation.
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