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020 _a9783030722746
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024 7 _a10.1007/978-3-030-72274-6
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_223
100 1 _aCassandras, Christos G.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aIntroduction to Discrete Event Systems
_h[electronic resource] /
_cby Christos G. Cassandras, Stéphane Lafortune.
250 _a3rd ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXXVI, 804 p. 315 illus., 4 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPreface-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.
520 _a 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. .
650 0 _aComputer science
_xMathematics.
650 0 _aDiscrete mathematics.
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aAutomation.
650 0 _aTelecommunication.
650 1 4 _aDiscrete Mathematics in Computer Science.
650 2 4 _aControl, Robotics, Automation.
650 2 4 _aCommunications Engineering, Networks.
700 1 _aLafortune, Stéphane.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030722722
776 0 8 _iPrinted edition:
_z9783030722739
856 4 0 _uhttps://doi.org/10.1007/978-3-030-72274-6
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c178519
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