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System Modeling and Simulation: An Introduction

ISBN: 978-0-471-49694-6
518 pages
August 2001, ©2001
System Modeling and Simulation: An Introduction (0471496944) cover image
This text teaches, by example, how to create models, simulate performance simulations and analyse results. It takes a quantitative approach and covers a range of event driven and time driven models. In addition it is software independent - to make implementations as generic as possible, which allows for experimentation with different implementations.
  • Includes 100 worked examples
  • Incorporates a number of disciplines in modeling process
  • Algorithms and programs available on associated web site

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Describing Systems.

Dynamical Systems.

Stochastic Generators.

Spatial Distributions.

Stochastic Data Representation.

Modeling Time-Driven Systems.

Exogenous Signals and Events.

Markov Processes.

Event-Driven Models.

System Optimization.

Appendix A: Stochastic Methodology.

Appendix B: Popular Discrete Probablility Distributions.

Appendix C: Popular Continuous Probability Distributions.

Appendix D: The Gamma Function.

Appendix G: The Gaussian Distribution Function.

Appendix F: The Chi-Square Distribution Function.

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FRANK L. SEVERANCE is a professor of Electrical and Computer Engineering at Western Michigan University, where he teaches and conducts research in non-linear control systems, digital signal processing and system modeling. In addition to being an unrepentant teacher, he plays viola in the University Symphony Orchestra and directs muscials for the Charlotte Community Theater.
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"...provides a broad introduction to system modeling and simulation with an emphasis on the principles of both time-driven and event-driven models." (SciTech Book News, Vol. 25, No. 4, December 2001)
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