Interactive Dynamic-System Simulation, Second Edition: 2nd Edition (Hardback) book cover

Interactive Dynamic-System Simulation, Second Edition

By Granino A. Korn

© 2010 – CRC Press

220 pages | 96 B/W Illus.

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About the Book

Showing you how to use personal computers for modeling and simulation, Interactive Dynamic-System Simulation, Second Edition provides a practical tutorial on interactive dynamic-system modeling and simulation. It discusses how to effectively simulate dynamical systems, such as aerospace vehicles, power plants, chemical processes, control systems, and physiological systems.

Written by a pioneer in simulation, the book introduces dynamic-system models and explains how software for solving differential equations works. After demonstrating real simulation programs with simple examples, the author integrates a new treatment of the difference equation programs needed to model sampled-data control systems with digital controllers. Subsequent chapters provide detailed programming know-how. These chapters cover library, table-lookup, user-definable, limiter, switching, and noise functions; an experiment-protocol scripting language; powerful vector and matrix operations; and classical simulation programs that illustrate a number of useful programming tricks. The final chapter shows how experiment-protocol scripts and compiled DYNAMIC program segments can quickly solve mathematical problems, including fast graph plotting, Fourier transforms, and complex-number plots.

CD-ROM Resource

The accompanying CD-ROM contains a complete, industrial-strength simulation program package. To install the ready-to-run simulation system, simply copy a single Windows or Linux folder from the CD. You can then run and modify every program example in the text or try your own projects. For truly interactive modeling, screen-edited programs are run-time compiled and immediately produce solution displays on a typed run command.

Table of Contents

Interactive Dynamic-System Simulation

Dynamic-System Models and Simulation Programs

Simulation Programs Exercise Models

Hands-On Simulation on the PC Desktop

A Gallery of Simple Simulation Programs


Examples from Physics

Aerospace and Related Applications

Modeling Population Dynamics

Introduction to Control System Simulation

Simulation and Control System Design

Dealing with Sampled Data

Difference Equation Programming

A Sampled-Data Control System

Function Generators and Submodels


General-Purpose Function Generation

Limiters and Noncontinuous Functions

Very Useful Models Employ Simple Recurrence Relations

Submodels Clarify System Design

A Bang-Bang Control System Simulation Using Submodels

Programming the Experiment Protocol


Program Control

Arrays and Subscripted Variables

Experiment-Protocol Output and Input

Experiment-Protocol Debugging, Notebook File, and Help Files

Models Using Vectors and Matrices


Vectors and Matrices in Experiment-Protocol Scripts

Vectors and Matrices in Dynamic-System Models

Vector Index-Shift Operations

Dot Products, Sums, and Vector Norms

More Vector/Matrix Operations

Model Replication: A Glimpse of Advanced Applications

Time History Function Storage in Arrays

Modeling Tricks and Treats

Overview and a First Example

Multiple Runs Can Splice Complicated Time Histories

Two Physiological Models

A Program with Multiple Dynamic Segments

Forrester-Type System Dynamics

General-Purpose Mathematics


Compiled Programs Need Not Be Simulation Programs

Integers, Complex Numbers, and Interpreter Graphics

Fast Fourier Transforms and Convolutions

Appendix: Simulation Accuracy and Integration Techniques


References appear at the end of each chapter.

About the Author

Since 1983, Granino A. Korn has been a full-time software developer and consultant at his company G.A. and T.M. Korn Industrial Consultants. From 1957–1983, he was a professor of electrical engineering at the University of Arizona, where he directed the Computer Engineering Research Laboratory. Dr. Korn has authored numerous books and papers over the years. He is a member of Sigma Xi and EUROSIM, a life member of the Society for Computer Simulation, and a fellow of the IEEE. He earned his M.A. from Columbia University and his Ph.D. in physics from Brown University.

About the Series

Numerical Insights

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Subject Categories

BISAC Subject Codes/Headings:
TECHNOLOGY & ENGINEERING / Engineering (General)