Interactive Dynamic-System Simulation  book cover
2nd Edition

Interactive Dynamic-System Simulation

ISBN 9781138115217
Published June 16, 2017 by CRC Press
220 Pages 96 B/W Illustrations

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Book Description

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.

Downloadable Resources
The accompanying downloadable resources contain 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 downloadable resources. 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.

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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.