Model reduction software in the SLICOT library (2001) [12 citations — 5 self]
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by A. Varga
Applied and Computational Control, Signals, and Circuits, volume 629 of The Kluwer International Series in Engineering and Computer Science
http://www.robotic.dlr.de/control/publications/2000/varga_cacsd2000p1.pdf
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@INPROCEEDINGS{Varga01modelreduction,author = {A. Varga},
title = {Model reduction software in the SLICOT library},
booktitle = {Applied and Computational Control, Signals, and Circuits, volume 629 of The Kluwer International Series in Engineering and Computer Science},
year = {2001},
pages = {239--282},
publisher = {Kluwer Academic Publishers}
}
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Abstract:
We describe the model reduction software developed recently for the control and systems library SLICOT. Besides a powerful collection of Fortran 77 routines implementing the last algorithmic developments for several well-known balancing related methods, we also describe model reduction tools developed to facilitate the usage of SLICOT routines in user friendly environments like Matlab or Scilab. Extensive testing of the implemented tools has been done using both special benchmark problems as well as models of several complex industrial plants. Testing results and performance comparisons show the superiority of SLICOT model reduction tools over existing model reduction software. 1
