Modeling and Simulation The Computer Science

Simulation is the art of using 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 modeling of systems that rely on human factors with a large proportion of uncertainty, such as social, economic or commercial systems. These new applications make the discipline of modeling and simulation a field of dynamic growth and new research.

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.

Editorial Foreword

x

Preface

xi

Basic Concepts and Tools

1

(34)

Modeling and simulation: What is it?

1

(2)

Validity, credibility, tractability and verification

3

(4)

System state and causal systems

7

(1)

Classification of dynamical systems

8

(2)

Discrete and continuous simulation

10

(1)

Evolution of simulation software

10

(25)

Control and simulation language CSL

11

(3)

Strategies of discrete event execution

14

(1)

GPSS

15

(3)

SIMULA67

18

(2)

DYNAMO and System Dynamics software

20

(1)

SPICE

21

(1)

DEVS: Discrete event system specification

22

(2)

DYMOLA

24

(1)

Chronology of M&S Software development

25

(5)

Distributed simulation

30

(1)

High Level Architecture (HLA)

31

(4)

Continuous Simulation

35

(32)

Introduction

36

(1)

Ordinary differential equations and models of concentrated parameter systems

37

(2)

Continuous simulation with analog computers

39

(1)

Numerical methods for ordinary differential equations (ODE)

40

(10)

Runge-Kutta methods

41

(1)

Richardson approximations

42

(1)

Predictor-Corrector methods

42

(2)

Stiff equations

44

(1)

Example of continuous simulation using ODEs

45

(5)

Signal flow graphs

50

(2)

Bond graphs

52

(4)

Alternative modeling tools and dynamic uncertainty

56

(1)

Distributed parameter systems

57

(2)

System dynamics

59

(3)

Galactic simulations and the N-body problem

62

(5)

Discrete and Combined Simulation - Example of Pasion Implementation

67

(44)

Are discrete models valid?

67

(8)

The discrete time and discrete events

68

(4)

Semidiscrete events

72

(3)

PASION - PSM++ simulation system

75

(11)

PASION - PSM++ summary

75

Getting started

7

(73)

Processes and events

80

(1)

Permanently active processes

81

(1)

State and conditional events

82

(3)

PASION code generators

85

(1)

Queuing Model Generator QMG

86

(17)

QMG blocks

87

(3)

Example of a QMG model

90

(5)

The SVOP procedure

95

(1)

PASION animators

96

(2)

Another QMG example: manufacturing system model

98

(5)

Complex system simulator of PASION

103

(8)

What is Complexity?

103

(1)

CSS module of PASION system

104

(2)

Model coupling

106

(2)

Example

108

(3)

Differential Inclusions in Modeling and Simulation

111

(28)

Differential inclusions

111

(4)

Possible applications

115

(1)

Differential inclusion solver (DIS)

116

(8)

Application in uncertainty treatment

124

(7)

Uncertain future and differential inclusions

131

(6)

Conclusions and future research

137

(2)

Fluid Dynamics - Simulating Oscillating Gas Flow

139

(16)

Computational fluid dynamics

139

(2)

Numerical problems

141

(1)

The simulation tool

142

(1)

Examples

143

(3)

Oscillating gas flow

146

(4)

Two-dimensional fluid-dynamics models are invalid

150

(2)

Conclusions

152

(3)

Simulating Phenomena of General Relativity

155

(18)

Some basic concepts

156

(5)

The simulation tool and model time

161

(2)

Simulation experiments

163

(10)

Relativistic orbit

163

(1)

Light signals

164

(1)

3D light cones

165

(1)

Time distortion

166

(1)

Approaching a black hole

167

(1)

Image distortion - gravitational lens

168

(2)

Rotating black hole

170

(3)

Interactions Between Hostile Hierarchical Structures: Simulation of the Struggle Between Terrorist and Anti-Terrorist Organizations

173

(16)

Introduction

173

(3)

The model

176

(1)

Structures

177

(3)

The tool and the model implementation

180

(3)

Simulation experiments

183

(5)

Conclusions

188

(1)

On a Metric Structure in the Space of Dynamic System Models

189

(10)

DEVS

190

(1)

Definitions

190

(2)

Distance between models

192

(2)

Examples

194

(4)

Conclusions

198

(1)

Simulation Optimization: A Case Study of a Parallel Optimization Algorithm

199

(12)

Introduction

199

(2)

Problem statement

201

(2)

Simulation experiment

203

(5)

Conclusions

208

(3)

References

211

(10)

Index

221

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Modeling and Simulation The Computer Science of Illusion

Summary

Author Biography

Table of Contents

Supplemental Materials

FREE SHIPPING

Rent More, Save More! Use code: BBRENTAL

5% off 1 book, 7% off 2 books, 10% off 3+ books

Modeling and Simulation The Computer Science of Illusion

Summary

Author Biography

Table of Contents

Supplemental Materials

Digital License