Title :
Model reduction software in the SLICOT library
Author_Institution :
Inst. of Robotics & Mechatronics, German Aerosp. Res. Establ., Oberpfaffenhofen, Germany
Abstract :
We describe the model reduction software developed 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
Keywords :
control system CAD; industrial control; reduced order systems; software packages; stability; Fortran 77 routines; MATLAB; SLICOT library; Scilab; model reduction software; user friendly environments; Benchmark testing; Control system synthesis; Industrial plants; MATLAB; Mathematical model; Reduced order systems; Software libraries; Software performance; Software testing; Software tools;
Conference_Titel :
Computer-Aided Control System Design, 2000. CACSD 2000. IEEE International Symposium on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-6566-6
DOI :
10.1109/CACSD.2000.900219
