Modeling and Simulation
The Computer Science of Illusion
Published on 3. September 2014
236 pages
978-0-470-03090-5 (ISBN)
Description
Simulation is the art of using tools - physical or conceptualmodels, or computer hardware and software, to attempt to create theillusion of reality. The discipline has in recent years expanded toinclude the modelling of systems that rely on human factors andtherefore possess a large proportion of uncertainty, such associal, economic or commercial systems. These new applications makethe discipline of modelling and simulation a field of dynamicgrowth and new research.
Stanislaw Raczynski outlines the considerable and promisingresearch that is being conducted to counter the problems ofuncertainty surrounding the methods used to approach these newapplications. It aims to stimulate the reader into seeking out newtools for modelling and simulation.
* Examines the state-of-the-art in recent research into methodsof approaching new applications in the field of modelling andsimulation
* Provides an introduction to new modelling tools such asdifferential inclusions, metric structures in the space of models,semi-discrete events, and use of simulation in paralleloptimization techniques
* Discusses recently developed practical applications: forexample the PASION simulation system, stock market simulation, anew fluid dynamics tool, manufacturing simulation and thesimulation of social structures
* Illustrated throughout with a series of case studies
Modelling and Simulation: The Computer Science ofIllusion will appeal to academics, postgraduate students,researchers and practitioners in the modelling and simulation ofindustrial computer systems. It will also be of interest to thoseusing simulation as an auxiliary tool.
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Stanislaw Raczynski
Modeling and Simulation - The Computer Science of Illusion
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08/2014
Wiley
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04/2006
Wiley
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Person
Stanislaw Raczynski is a professor of control theory, electronics and computer simulation at the Panamerican University in Mexico City. He is also the international director of the Socirty for Modelling Simulation in San Diego. He has authored 1 book, "Simulacion por computadora" and over 70 journal articles & conference papers.
Content
Editorial Foreword.
Preface.
Chapter 1. Basic Concepts and Tools.
1.1. Modeling and simulation: What is it ?.
1.2. Validity, credibility, tractability and verification.
1.3. System state and causal systems.
1.4. Classification of dynamical systems.
1.5. Discrete and continuous simulation.
1.6. Evolution of simulation software.
Chapter 2. Continuous simulation.
2.1. Introduction.
2.2 Ordinary differential equations and models of concentratedparameter systems.
2.3. Continuous simulation with analog computers.
2.4. Numerical methods for ordinary differential equations(ODE).
2.5. Signal flow graphs.
2.6. Bond graphs.
2.7. Alternative modeling tools and dynamic uncertainty.
2.8. Distributed parameter systems.
2.9. System dynamics.
2.10. Galactic simulations and the N-body problem.
Chapter 3. Discrete and combined simulation - exampleof PASION implementation.
3.1. Are discrete models valid?.
3.2. PASION simulation system.
3.3. Queuing Model Generator QMG.
3.4. Complex system simulator of PASION.
Chapter 4. Differential inclusions in Modeling andSimulation.
4.1. Differential inclusions.
4.2. Possible applications.
4.3. Differential inclusion solver.
4.4. Application in uncertainty treatment.
4.5. Uncertain future and differential inclusions.
4.6. Conclusions and future research.
Chapter 5. Fluid dynamics - simulating oscillating gasflow.
5.1. Computational fluid dynamics.
5.2. Numerical problems.
5.3. The simulation tool.
5.4. Examples.
5.5. Oscillating gas flow.
5.6. Two-dimensional fluid-dynamics models are invalid.
5.7. Conclusions.
Chapter 6. Simulating Phenomena of GeneralRelativity.
6.1. Some basic concepts.
6.3. The simulation tool and model time.
6.4. Simulation experiments.
Chapter 7. Interactions between hostile hierarchicalstructures: simulation of the struggle between terrorist andanti-terrorist organizations.
7.1. Introduction.
7.2. The model.
7.3. Structures.
7.4. The tool and the model implementation.
7.5. Simulation experiments.
7.6. Conclusions.
Chapter 8. On a metric structure in the space of dynamicsystem models.
8.1. DEVS.
8.2. Definitions.
8.3. Distance between models.
8.4. Examples.
8.5. Conclusions.
Chapter 9. Simulation optimization: A case study of aparallel optimization algorithm.
9.1. Introduction.
9.2. Problem statement.
9.3. Simulation experiment.
9.4. Conclusions.
References.
Index.
