Some software aspects of DAE simulation & optimization software |
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| Authors: | S. L. Campbel J. T. Betts A. Engelsone R. Nikoukhah M. Najafi |
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| Affiliation: | 1. Department of Mathematics, North Carolina State University, Raleigh, NC 27695-8205, USA;2. Mathematics and Engineering Analysis, The Boeing Company, P.O. Box 3707 MS;3. Mergeglobal, Washington, DC, USA;4. INRIA, Rocquencourt BP 105, 78153 Le Chesnay Cedex, France |
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| Abstract: | Considerable numerical software has been written for simulation and optimization of dynamical systems. From the beginning of their development, differential algebraic equations (DAEs) have often been proposed as a way to make modeling easier. The modeler need only write down equations relating the variables in the model. However, much DAE software requires at least as much user numerical and mathematical expertise as explicit methods. An important aspect of our research has been working toward helping the idea of DAEs achieve its promise in modeling and simulation by both pushing the software to handle more general problems and to also allow for less user expertise. Some recent examples are presented where this research impacts on software and their underlying algorithms. Space necessitates we assume the reader has a rough idea of what a DAE is. The examples are implicit Scicos, and optimization of DAE models. (© 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim) |
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