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008			211111s2021 sz | s |||| 0|eng d
020			_a9783030722746
024	7		_a10.1007/978-3-030-72274-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aT57.6 _b2021 EB
100	1		_aCassandras, Christos G. _9681847 _eautor
245	1	0	_aIntroduction to Discrete Event Systems _cby Christos G. Cassandras, Stéphane Lafortune.
250			_aThrid edition 2021
264		1	_aCham _bSpringer International Publising _c2021
300			_a1 recurso en línea (XXVI, 804 páginas) _b315 ilustraciones, 4 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aComputer Science (SpringerNature-11645)
490	0		_aComputer Science (R0) (SpringerNature-43710)
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	3		_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 and Computer Science at the University of Michigan, Ann Arbor. .
988			_aSpringer_Computer_2021
650		7	_2embne _9157265 _aSistemas de tiempo discreto
700	1		_aLafortune, Stéphane _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9783030722722
776	0	8	_iPrinted edition: _z9783030722739
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-72274-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2022 _dz _eh _zSI