By Granino A. Korn

ISBN-10: 0470081880

ISBN-13: 9780470081884

Study the most recent recommendations in programming refined simulation structures. This state of the art textual content provides the newest options in complicated simulation programming for interactive modeling and simulation of dynamic structures, similar to aerospace automobiles, keep an eye on platforms, and organic platforms. the writer, a number one authority within the box, demonstrates software program which could deal with huge simulation reviews on ordinary own desktops.

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Additional info for Advanced Dynamic-system Simulation: Model-replication Techniques and Monte Carlo Simulation

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This is precisely why we wrote each difference equation (2-1b) as an assignment to a “predictor variable” Qi rather than to qi. It is always safe to rewrite difference equations such as (2-2) as Qi = Fi(t; q1, q2, …; p1, p2, …) and to program updating assignments qi = Qi following the difference equations as in Section 2-1. info Sampled-data Assignments and Difference Equations 35 + 0 – 0 scale =4 400 q1 vs. 90 t = 0 | q1 = 0 | q2 = 1 drun -----------------------------------------------------------------DYNAMIC -----------------------------------------------------------------SAMPLE 10 | -for better display only Q1 = q2 | Q2 = a*q2 + b * q1 | -- difference eqs.

It follows that even a simple problem such as our torpedo can require over a thousand simulation runs. A larger project can generate an enormous volume of simulation data. info 30 Introduction to Dynamic-system Simulation evaluation of such results is an art rather than a science. It is the specific purpose of this book to show techniques that generate thousands of experiments in minutes and display results in various ways. Computer simulation is convenient, and dramatically cheaper than real experiments.

In fact, the main result of a few model runs will be questions rather than answers: one begins to see how much more there is to know. Here are just a few questions that might come up: • Can the missile acquire the target from different directions? • What happens if the target speed increases? • Can the design be improved with different vehicle or control-system parameters? • What parameter-value tolerances are acceptable? We shall clearly require multirun simulation studies. Figure 1-10 shows a simple example, but in practice we shall have to investigate combinations of problems such as those listed.

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Advanced Dynamic-system Simulation: Model-replication Techniques and Monte Carlo Simulation by Granino A. Korn


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