
Theory of Modeling and Simulation
Discrete Event & Iterative System Computational Foundations
Academic Press
3rd Edition
Published on 17. August 2018
Book
Paperback/Softback
692 pages
978-0-12-813370-5 (ISBN)
Description
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. Continuing its emphasis on the integration of discrete event and continuous modeling approaches, the work focuses light on DEVS and its potential to support the co-existence and interoperation of multiple formalisms in model components.
New sections in this updated edition include discussions on important new extensions to theory, including chapter-length coverage of iterative system specification and DEVS and their fundamental importance, closure under coupling for iteratively specified systems, existence, uniqueness, non-deterministic conditions, and temporal progressiveness (legitimacy).
New sections in this updated edition include discussions on important new extensions to theory, including chapter-length coverage of iterative system specification and DEVS and their fundamental importance, closure under coupling for iteratively specified systems, existence, uniqueness, non-deterministic conditions, and temporal progressiveness (legitimacy).
Reviews / Votes
"Many chapters offer a Summary and sources sections which are unique in giving a historical perspective of the presented material. The book can be recommended for graduate and PhD students, as well as for engineers or software architects and scientists interested in mathematical modeling and computer simulation." --zbMATHMore details
Edition
3rd edition
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
College/higher education
Undergraduate students and graduate students, especially PhD students, researchers, and all workers in computational-based fields benefiting from modeling and simulation, both traditional and non-traditional
Dimensions
Height: 235 mm
Width: 191 mm
Weight
1450 gr
ISBN-13
978-0-12-813370-5 (9780128133705)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Bernard P. Zeigler | Alexandre Muzy | Ernesto Kofman
Theory of Modeling and Simulation
Discrete Event & Iterative System Computational Foundations
E-Book
08/2018
3rd Edition
Academic Press
€86.99
Available for download
Previous edition

Bernard P. Zeigler | Herbert Praehofer | Tag Gon Kim
Theory of Modeling and Simulation
Discrete Event & Iterative System Computational Foundations
Book
01/2000
2nd Edition
Academic Press
€117.61
Article exhausted; check for reprint
Persons
Bernard P. Zeigler, is a Professor of Electrical & Computer Engineering at the University of Arizona and co-director of the Arizona Center for Integrative Modeling and Simulation. He is the author of numerous books and publications, a Fellow of the IEEE, and of the Society for Modeling and Simulation International. Zeigler is currently heading a project for the Joint Interoperability Test Command (JITC) where he is leading the design of the future architecture for large distributed simulation events for the Joint Distributed Engineering Plant (JDEP). He is also developing DEVS-methodology approaches for testing mission thread end-to-end interoperability and combat effectiveness of Defense Department acquisitions and transitions to the Global Information Grid with its Service Oriented Architecture (GIG/SOA). Alexandre MUZY is research fellow at CNRS, France, where he is in charge of the research group Modelisation, Simulation & Neurocognition (MS&N) at I3S laboratory in Sophia Antipolis. Ernesto Kofman is a Professor at the Control Department at the Faculty of Exact Sciences, Engineering and Surveying of the National University of Rosario (FCEIA-UNR) and a Research Member of the National Research Council of Argentina (CONICET) , where he is in charge of the Simulation and Automatic Control Group of the French-Argentine International Center for Information and Systems Sciences (CIFASIS).
Author
University of Arizona, Tucson, USA
Universite Cote d'Azur, CNRS, I3S, France
FCEIA, Universidad Nacional de Rosario - CIFASIS-CONICET, Argentina
Content
Part I Basics: Modeling Formalisms and Simulation Algorithms
1. Introduction to Systems Modeling Concepts
2. Framework for Modeling and Simulation
3. Modeling Formalisms and Their Simulators
4. Introduction to DEVS
5. Hierarchy of System Specifications
6. Basic Formalisms: DEVS, DESS, DTSS
7. Basic Formalisms: Coupled MultiComponent Systems
8. Simulators for Basic Formalisms
9. Multi-Formalism Modeling and Simulation
Part II Iterative System Specification
10. Introduction to Iterative System Specification
11. Basic Iterative System Specification
12. Iterative Specification Subformalisms
13. Finite and Timed Iterative Specifications
Part III System Morphisms: Abstraction, Representation, Approximation
14. Parallel and Distributed Discrete Event Simulation
15. Abstraction: Constructing Model Families
16. Verification, Validation, Approximate Morphisms
17. DEVS and DEVS-like Systems
18. Quantization-Based Simulation
19. DEVS Representation of Iteratively Specified Systems
Part IV Enhanced DEVS Formalisms
20. DEVS Markov Modeling and Simulation
21. DEVS Markov Model Lumping
22. Spiking Neuron Modeling- Iterative Specification
23. Open Research Problems
1. Introduction to Systems Modeling Concepts
2. Framework for Modeling and Simulation
3. Modeling Formalisms and Their Simulators
4. Introduction to DEVS
5. Hierarchy of System Specifications
6. Basic Formalisms: DEVS, DESS, DTSS
7. Basic Formalisms: Coupled MultiComponent Systems
8. Simulators for Basic Formalisms
9. Multi-Formalism Modeling and Simulation
Part II Iterative System Specification
10. Introduction to Iterative System Specification
11. Basic Iterative System Specification
12. Iterative Specification Subformalisms
13. Finite and Timed Iterative Specifications
Part III System Morphisms: Abstraction, Representation, Approximation
14. Parallel and Distributed Discrete Event Simulation
15. Abstraction: Constructing Model Families
16. Verification, Validation, Approximate Morphisms
17. DEVS and DEVS-like Systems
18. Quantization-Based Simulation
19. DEVS Representation of Iteratively Specified Systems
Part IV Enhanced DEVS Formalisms
20. DEVS Markov Modeling and Simulation
21. DEVS Markov Model Lumping
22. Spiking Neuron Modeling- Iterative Specification
23. Open Research Problems