Theory of Modeling and Simulation - 3rd Edition - ISBN: 9780128133705

Theory of Modeling and Simulation

3rd Edition

Discrete Event and Iterative System Computational Foundations

Authors: Bernard P. Zeigler Alexandre Muzy Ernesto Kofman
Paperback ISBN: 9780128133705
Imprint: Academic Press
Published Date: 1st August 2018
Page Count: 600
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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).

Key Features

  • Presents a 40% revised and expanded new edition of this classic book with many important post-2000 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 online ancillary package, including numerous examples of theory and implementation in DEVS-based software, student solutions and instructors manual


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

Table of Contents

Part I: Basics
1. Introduction to System Modeling Concepts
2. Framework for Modeling and Simulation
3. Framework Refinements and Applications (V&V and Properties)

Part II: System Specifications and Discrete Event System Specification (DEVS)
4. Hierarchy of System Specifications 
5. Hierarchy of System Morphisms 
6. Iterative Specification and DEVS – fundamental existence, progressiveness (legitimacy)
7. Dynamic Structure

Part II:  DEVS Simulation
8. Parallel DEVS and Abstract Simulator 
9. Parallel DEVS Simulation Protocol Nutaro
10. Multicomponent DEVS and Simulator Franceschini
11. DEVS-based Simulator Speedup: Flattening (TG Kim TOMACS), Amdahl  

Part III: DEVS Representation of Systems: Event-based Control and Simulation
12. DEVS and DEVS-like Systems: Universality and Uniqueness (Iterative Spec) and DEV&DESS (Hybrid) 
13a. Quantization, Discretization, higher order and implicit methods, activity relationship
13b. Unifying Event-based Control and Simulation: DTSS and quantization solve and combine the problems using a single formalism (DEVS)

Part IV: Multi-resolution families: Abstraction, Approximation, and Trade-off
14a. Stochastic DEVS, Probability spaces, legitimacy, formalism extension and their properties (closure under, coupling, coupling of DEVS and STDEVS, etc).
14b. Markov Modeling – DEVS Markov derived from Stochastic DEVS, Semi-Markov 
15. Abstraction: Constructing Model Families and SES, Multi-aspects, Vectorial DEVS
16. Approximate Morphisms: Living with Error, Markov Performance Trade-off

Part V: DEVS-Based Modeling
17. DEVS and Neural Modeling, Spiking DEVS
18. DEVS and Emergence at Syntactic Level


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© Academic Press 2019
Academic Press
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About the Author

Bernard P. Zeigler

Alexandre Muzy

Affiliations and Expertise

Universite Cote d'Azur, CNRS, I3S, France

Ernesto Kofman

Affiliations and Expertise

FCEIA, Universidad Nacional de Rosario - CIFASIS-CONICET, Argentina

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