Modeling and Simulation (eBook)

The Computer Science of Illusion

Stanislaw Raczynski (Autor)

eBook Download: PDF

2014 | 1. Auflage
236 Seiten
John Wiley & Sons (Verlag)
978-0-470-03090-5 (ISBN)

Infos

Simulation is the art of using tools - physical or conceptual
models, or computer hardware and software, to attempt to create the
illusion of reality. The discipline has in recent years expanded to
include the modelling of systems that rely on human factors and
therefore possess a large proportion of uncertainty, such as
social, economic or commercial systems. These new applications make
the discipline of modelling and simulation a field of dynamic
growth and new research.

Stanislaw Raczynski outlines the considerable and promising
research that is being conducted to counter the problems of
uncertainty surrounding the methods used to approach these new
applications. It aims to stimulate the reader into seeking out new
tools for modelling and simulation.

* Examines the state-of-the-art in recent research into methods
of approaching new applications in the field of modelling and
simulation

* Provides an introduction to new modelling tools such as
differential inclusions, metric structures in the space of models,
semi-discrete events, and use of simulation in parallel
optimization techniques

* Discusses recently developed practical applications: for
example the PASION simulation system, stock market simulation, a
new fluid dynamics tool, manufacturing simulation and the
simulation of social structures

* Illustrated throughout with a series of case studies

Modelling and Simulation: The Computer Science of
Illusion will appeal to academics, postgraduate students,
researchers and practitioners in the modelling and simulation of
industrial computer systems. It will also be of interest to those
using simulation as an auxiliary tool.

Autor

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.

Inhalt

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 concentrated
parameter 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 - example
of 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 and
Simulation.

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 gas
flow.

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 General
Relativity.

6.1. Some basic concepts.

6.3. The simulation tool and model time.

6.4. Simulation experiments.

Chapter 7. Interactions between hostile hierarchical
structures: simulation of the struggle between terrorist and
anti-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 dynamic
system 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 a
parallel optimization algorithm.

9.1. Introduction.

9.2. Problem statement.

9.3. Simulation experiment.

9.4. Conclusions.

References.

Index.

Produkt-Details

• Erscheint lt. Verlag: 3.9.2014
• Reihe/Serie: RSP Bird
• Reihe/Serie: RSP Bird
• Sprache: englisch
• Themenwelt: Informatik ► Grafik / Design ► Digitale Bildverarbeitung
• Themenwelt: Mathematik / Informatik ► Mathematik
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Schlagworte: Angew. Wahrscheinlichkeitsrechn. u. Statistik / Modelle • Applied Probability & Statistics - Models • Computer Science • Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Informatik • Modell • Numerical Methods & Algorithms • Numerische Methoden u. Algorithmen • Simulation • Software engineering • Software-Engineering • Statistics • Statistik
• ISBN-10: 0-470-03090-9 / 0470030909
• ISBN-13: 978-0-470-03090-5 / 9780470030905