Introduction to Discrete Event Systems (3rd Ed., 3rd ed. 2021)
Auteurs : Cassandras Christos G., Lafortune Stéphane
This unique textbook comprehensively introduces 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 queueing theory, discrete-event simulation, and concurrent estimation techniques.
Topics and features:
- detailed treatment of automata and language theory in the context of discrete event systems, including application to state estimation and diagnosis
- comprehensive coverage of centralized and decentralized supervisory control of partially-observed systems
- timed models, including timed automata and hybrid automata
- stochastic models for discrete event systems and controlled Markov chains
- discrete event simulation
- an introduction to stochastic hybrid systems sensitivity analysis and optimization of discrete event and hybrid systems
- new in the third edition: opacity properties, enhanced coverage of supervisory control, overview of latest software tools
This proven textbook is essential to advanced-level students and researchers in a variety of disciplines where the study of discrete event systems is relevant: control, communications, computer engineering, computer science, manufacturing engineering, transportation networks, operations research, and industrial engineering.
?Christos G. Cassandras is Distinguished Professor of Engineering, Professor of Systems Engineering, and Professor of Electrical and Computer Engineering at Boston University.
Stéphane Lafortune is Professor of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor.
Christos G. Cassandras is Distinguished Professor of Engineering at Boston University. He is Head of the Division of Systems Engineering, Professor of Electrical and Computer Engineering, and co-founder of the Boston University Center for Information and Systems Engineering (CISE). He received a B.S degree from Yale University, M.S.E.E degree from Stanford University, and S.M and Ph.D degrees from Harvard University. Prior to joining Boston University, he worked on automated manufacturing systems with ITP Boston (1982–1984), and was Professor of Electrical and Computer Engineering at the University of Massachusetts at Amherst until 1997. Besides discrete event and hybrid systems, his interests include stochastic control and optimization, computer simulation, multi-agent systems, manufacturing systems, transportation systems and autonomous vehicles, and computer and sensor networks. He has published over 450 technical papers in these areas. He has worked extensively with industrial organizations and has most recently collaborated with The MathWorks, Inc. in the development of the discrete event and hybrid system simulator SimEvents. His prior book, Discrete Event Systems: Modeling and Performance Analysis, on which a substantial portion of the present book is based, received the 1999 Harold Chest[1]nut Prize, awarded by the International Federation of Automatic Control for best control engineering textbook. Dr. Cassandras was Editor-in-Chief of the IEEE Transactions on Automatic Control from 1998 through 2009 and is currently a member of several journal editorial boards. He was the 2012 President of the IEEE Control Systems Society. He is the recipient of several awards, including the 2011 IEEE Control Systems Technology Award, the Distinguished Member Award of the IEEE Control Systems Society (2006), and 2011 and 2014 prizes for the IBM/IEEE Smarter Planet Challenge competition. He is a Fellow of the IEEE and of the IFAC.
Stéphane Lafortu
Date de parution : 11-2021
Ouvrage de 804 p.
17.8x25.4 cm
Thèmes d’Introduction to Discrete Event Systems :
Mots-clés :
Markov chains; Petri net theory; Discrete event systems; Dynamic systems; Language and automata theory; Perturbation analysis; Supervisory control; Unified modeling framework; Hybrid systems; Automata; Queuing theory; Discrete-event simulation; Concurrent estimation; Control engineering; Stochastic time automata; Petri nets
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