Introduction to Discrete Event Systems [electronic resource] / edited by Christos G. Cassandras, Stéphane Lafortune.

By: Cassandras, Christos G [editor.]Contributor(s): Lafortune, Stéphane [editor.] | SpringerLink (Online service)Material type: TextTextLanguage: English Publisher: Boston, MA : Springer US, 2008Description: online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9780387686127Subject(s): Engineering | Computational complexity | Systems theory | Operations research | Mechanical engineering | Control engineering systems | Industrial engineering | Engineering | Control , Robotics, Mechatronics | Discrete Mathematics in Computer Science | Systems Theory, Control | Mechanical Engineering | Operations Research, Mathematical Programming | Industrial and Production EngineeringAdditional physical formats: Printed edition:: No titleDDC classification: 629.8 LOC classification: TJ210.2-211.495TJ163.12Online resources: Click here to access online
Contents:
Systems and Models -- Languages and Automata -- Supervisory Control -- Petri Nets -- Timed and Hybrid Models -- Stochastic Timed Automata -- Markov Chains -- to Queueing Theory -- Controlled Markov Chains -- to Discrete-Event Simulation -- Sensitivity Analysis and Concurrent Estimation.
In: Springer eBooksSummary: Introduction to Discrete Event Systems 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 queueing theory, discrete-event simulation, and concurrent estimation techniques. Distinctive features of the second edition include: more detailed treatment of equivalence of automata, event diagnosis, and decentralized event diagnosis expanded treatment of centralized and decentralized control of partially-observed systems new sections on timed automata with guards (in the Alur-Dill formalism) and hybrid automata an introduction to hybrid systems updated coverage of discrete event simulation, including new software tools available recent developments in sensitivity analysis for discrete event systems as well as hybrid systems This textbook is valuable 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, operations research, and industrial engineering.
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Systems and Models -- Languages and Automata -- Supervisory Control -- Petri Nets -- Timed and Hybrid Models -- Stochastic Timed Automata -- Markov Chains -- to Queueing Theory -- Controlled Markov Chains -- to Discrete-Event Simulation -- Sensitivity Analysis and Concurrent Estimation.

Introduction to Discrete Event Systems 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 queueing theory, discrete-event simulation, and concurrent estimation techniques. Distinctive features of the second edition include: more detailed treatment of equivalence of automata, event diagnosis, and decentralized event diagnosis expanded treatment of centralized and decentralized control of partially-observed systems new sections on timed automata with guards (in the Alur-Dill formalism) and hybrid automata an introduction to hybrid systems updated coverage of discrete event simulation, including new software tools available recent developments in sensitivity analysis for discrete event systems as well as hybrid systems This textbook is valuable 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, operations research, and industrial engineering.

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