![]() ![]() ![]() The exciting thing about SystemModeler is that from its very foundations, it takes a new approach that dramatically unifies and generalizes what’s possible. ![]() There’s a long and tangled history of products that do various kinds of system modeling. Here’s an example of SystemModeler in action-with a 2,685-equation dynamic model of an airplane being used to analyze the control loop for continuous descent landings: The result of this is a fully computable representation of the system-that mirrors what an actual physical version of the system would do, but allows instant visualization, simulation, analysis, or whatever. Internally, what SystemModeler does is to derive from its symbolic system description a large collection of differential-algebraic and other equations and event specifications-which it then solves using powerful built-in hybrid symbolic-numeric methods. In SystemModeler, a system is built from a hierarchy of connected components-often assembled interactively using SystemModeler‘s drag-and-drop interface. It’s based-like Mathematica-on the very general idea of representing everything in symbolic form. SystemModeler is a very general environment that handles modeling of systems with mechanical, electrical, thermal, chemical, biological, and other components, as well as combinations of different types of components. Now we are taking a major step in that direction with the release of Wolfram SystemModeler. Last year, I wrote about our plans to initiate a new generation of large-scale system modeling. Today I’m excited to be able to announce that our company is moving into yet another new area: large-scale system modeling. Explore the contents of this article with a free Wolfram SystemModeler trial. ![]()
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