5 edition of Discrete-event system theory found in the catalog.
Published
1995
by World Scientific in Singapore, River Edge, N.J
.
Written in
Edition Notes
Includes bibliographical references and index.
| Statement | Antonio Tornambè. |
| Classifications | |
|---|---|
| LC Classifications | QA267 .T67 1995 |
| The Physical Object | |
| Pagination | x, 336 p. : |
| Number of Pages | 336 |
| ID Numbers | |
| Open Library | OL799040M |
| ISBN 10 | 9810223617 |
| LC Control Number | 95035274 |
of discrete-event simulation and provide practice in utilizing concepts found in the text. Answers provided here are selective, in that not every problem in every chapter is solved. Answers in some instances are suggestive rather than complete. These two caveats hold particularly in chapters where building of computer simulation models is required. A discrete event system (DES) is a dynamic system that evolves in accordance with the abrupt occurrence, at possibly unknown irregular intervals, of physical events.
Collecting the work of the foremost scientists in the field, Discrete-Event Modeling and Simulation: Theory and Applications presents the state of the art in modeling discrete-event systems using the discrete-event system specification (DEVS) approach. It introduces the latest advances, recent extensions of formal techniques, and real-world examples of various by: Presents a 40% revised and expanded new edition of this classic book with many important post extensions to core theory Provides a streamlined introduction to Discrete Event System Specification (DEVS) formalism for modeling and simulation Packages all the "need-to-know" information on DEVS formalism in one place Expanded to include an.
Book Description. Collecting the work of the foremost scientists in the field, Discrete-Event Modeling and Simulation: Theory and Applications presents the state of the art in modeling discrete-event systems using the discrete-event system specification (DEVS) approach. It introduces the latest advances, recent extensions of formal techniques, and real-world examples of various applications. Discrete Event Systems: Modeling and Performance Analysis Christos G. Cassandras. Discrete Event Systems: Modeling and Performance Analysis is the first instructional text to be published in an area that emerged in the early s and that spans such disciplines as systems and control theory, operations research, and computer science.
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The book gives a complete introduction to the discrete-event system theory and simultaneously applies the theory to practical problems. The book gives students of computer sciences, system sciences, and of electrical engineering, a clear, unambiguous, and relevant account of discrete-event systems.
Numerous illustrations are included for better Cited by: Theory of Modeling and Simulation: Discrete Event & Iterative System Computational Foundations, Third Edition, continues the legacy of this authoritative and complete theoretical work. It is ideal for graduate and PhD students and working engineers interested in posing and solving problems using the tools of logico-mathematical modeling and computer simulation.
Theory of Modeling and Simulation: Discrete Event & Iterative System Computational Foundations, Third Edition, continues the legacy of this authoritative and complete theoretical work.
It is ideal for graduate and PhD students and working engineers interested in posing and solving problems using the tools of logico-mathematical modeling and computer by: 6. System Upgrade on Tue, May 19th, at 2am (ET) During this period, E-commerce and registration of new users may not be available for up to 12 hours.
For online purchase, please visit us again. Contact us at [email protected] for any enquiries. Discrete event systems are systems whose dynamic behaviour is driven by asynchronous occurrences of discrete events.
Examples can be found in a variety of fields, such as control, computer science, automated manufacturing, and communication and transportation networks. This volume gives an introduction to the discrete-event system theory and simultaneously applies the theory to practical problems.
It gives students of computer sciences, system sciences and electrical engineering an account of discrete-event systems. A discrete-event simulation (DES) models the operation of a system as a sequence of events in time. Each event occurs at a particular instant in time and marks a change of state in the system.
Between consecutive events, no change in the system is assumed to occur; thus the simulation time can directly jump to the occurrence time of the next event, which is called next-event time progression.
Theory of Modeling and Simulation: Discrete Event & Iterative System Computational Foundations, Third Edition, continues the legacy of this authoritative and complete theoretical work. It is ideal for graduate and PhD students and working engineers interested in posing and solving problems using the tools of logico-mathematical modeling and.
This text provides a basic treatment of discrete-event simulation, one of the most widely used operations research tools presently available. Proper collection and analysis of data, use of analytic techniques, verification and validation of models, and an appropriate design of simulation experiments are treated extensively.
Readily understandable to those having a basic familiarity with. This book provides a basic treatment of discrete-event simulation, one of the most widely used operations research and management science tools for dealing with system design in.
This book provides a basic treatment of one of the most widely used operations research tools: discrete-event simulation. Prerequisites are calculus, probability theory, and elementary statistics. Contents, abridged: Introduction to discrete-event system simulation.
Mathematical and statistical. This book provides a basic treatment of one of the most widely used operations research tools: discrete-event simulation. Prerequisites are calculus, probability theory, and elementary statistics. Contents, abridged: Introduction to discrete-event system simulation.
Mathematical and statistical models. Random numbers. Analysis of simulation data. Discrete Event Systems: Analysis and Control is the proceedings of WODES (the 5th Workshop on Discrete Event Systems, held in Ghent, Belgium, on August).
This book provides a survey of the current state of the art in the field of modeling, analysis and control synthesis of discrete event systems, lecture notes for a mini course on sensitivity analysis for performance evaluation.
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.
In book: Discrete Event Simulations (pp) The authors believe that discrete event simulation continue to be one of the most effective decision support tools both in global manufacturing and.
Description of the book "Discrete-event System Simulation": Management and Computer Science; or a second course in Simulation. This text provides a basic treatment of discrete-event simulation, one of the most widely used operations research and management science tools for dealing with system design in the presence of uncertainty.
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 : Springer US.
About this book In recent years, there has been a growing debate, particularly in the UK and Europe, over the merits of using discrete-event simulation (DES) and system dynamics (SD); there are now instances where both methodologies were employed on the same problem. Discrete event system theory is a promising and dynamically developing area of both control theory and computer science.
Discrete event systems are systems with non-numerically-valued states, inputs, and outputs. The approaches to the modelling and control of these systems can be.
Discrete Event System Simulation is ideal for junior- and senior-level simulation courses in engineering, business, or computer science. It is also a useful reference for professionals in operations research, management science, industrial engineering, and information science.
Theory of modeling and simulation: discrete event and iterative system computational foundations | Kofman, Ernesto; Muzu, Alexandre; Zeigler, Bernard P et al.
| .A Discrete Event System (DES) is a dynamic system whose behavior is characterized by abrupt changes in the value of its state, which takes discrete values, from a possibly infinite state evolution is due to the occurrence of events; in other words, a DES is a discrete-state and event-driven system.
The theory and engineering of DES started to develop following several partially. 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, 5/5(2).
