Interactive Dynamic-System Simulation

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 ResourcesThe 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.

Interactive Dynamic-System Simulation Dynamic-System Models and Simulation ProgramsSimulation Programs Exercise ModelsHands-On Simulation on the PC Desktop A Gallery of Simple Simulation Programs IntroductionExamples from PhysicsAerospace and Related ApplicationsModeling Population Dynamics Introduction to Control System Simulation Simulation and Control System DesignDealing with Sampled DataDifference Equation ProgrammingA Sampled-Data Control System Function Generators and SubmodelsOverview General-Purpose Function Generation Limiters and Noncontinuous FunctionsVery Useful Models Employ Simple Recurrence RelationsSubmodels Clarify System DesignA Bang-Bang Control System Simulation Using Submodels Programming the Experiment Protocol Introduction Program ControlArrays and Subscripted VariablesExperiment-Protocol Output and InputExperiment-Protocol Debugging, Notebook File, and Help Files Models Using Vectors and Matrices Overview Vectors and Matrices in Experiment-Protocol Scripts Vectors and Matrices in Dynamic-System ModelsVector Index-Shift OperationsDot Products, Sums, and Vector NormsMore Vector/Matrix OperationsModel Replication: A Glimpse of Advanced ApplicationsTime History Function Storage in Arrays Modeling Tricks and Treats Overview and a First Example Multiple Runs Can Splice Complicated Time Histories Two Physiological ModelsA Program with Multiple Dynamic Segments Forrester-Type System Dynamics General-Purpose Mathematics Introduction Compiled Programs Need Not Be Simulation ProgramsIntegers, Complex Numbers, and Interpreter GraphicsFast Fourier Transforms and Convolutions Appendix: Simulation Accuracy and Integration Techniques Index References appear at the end of each chapter.

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.