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Introduction to Discrete Event Systems [electronic resource] /

By: Contributor(s): Material type: TextTextPublisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 3rd ed. 2021Description: XXVI, 804 p. 315 illus., 4 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030722746
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 004.0151 23
LOC classification:
  • QA76.9.M35
  • QA297.4
Online resources:
Contents:
Preface-Third Edition -- Preface- Second Edition -- Preface -- Systems and Models -- Languages and Automata -- Supervisory Control -- Petri Nets -- Timed and Hybrid Models -- Stochastic Timed Automata -- Markov Chains -- Introduction to Queuing Theory -- Controlled Markov Chains -- Introduction to Discrete-Event Simulation -- Sensitivity Analysis and Concurrent Estimation -- Review of Probability Theory -- IPA Estimator -- Index -- About the Authors.
In: Springer Nature eBookSummary: 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 andComputer Science at the University of Michigan, Ann Arbor. .
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Preface-Third Edition -- Preface- Second Edition -- Preface -- Systems and Models -- Languages and Automata -- Supervisory Control -- Petri Nets -- Timed and Hybrid Models -- Stochastic Timed Automata -- Markov Chains -- Introduction to Queuing Theory -- Controlled Markov Chains -- Introduction to Discrete-Event Simulation -- Sensitivity Analysis and Concurrent Estimation -- Review of Probability Theory -- IPA Estimator -- Index -- About the Authors.

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 andComputer Science at the University of Michigan, Ann Arbor. .

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