![]() In the past, products tended either to be specific to a particular application domain (like electric circuits or hydraulics), or were based on rigid low-level component models such as procedural blocks. There’s a long and tangled history of products that do various kinds of system modeling. The exciting thing about SystemModeler is that from its very foundations, it takes a new approach that dramatically unifies and generalizes what’s possible. 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: ![]() In SystemModeler, a system is built from a hierarchy of connected components-often assembled interactively using SystemModeler‘s drag-and-drop interface. 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. 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. 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. Today I’m excited to be able to announce that our company is moving into yet another new area: large-scale system modeling. Last year, I wrote about our plans to initiate a new generation of large-scale system modeling.
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