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.ย
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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.
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โChristos G. Cassandrasย is Distinguished Professor of Engineering, Professor of Systems Engineering, and Professor of Electrical and Computer Engineering at Boston University.ย ย
Stรฉphane Lafortuneย is Professor of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor.ย