Model reduction software in the SLICOT library

Author

Varga, A.

Author_Institution

Inst. of Robotics & Mechatronics, German Aerosp. Res. Establ., Oberpfaffenhofen, Germany

fYear

2000

fDate

2000

Firstpage

249

Lastpage

254

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Aided Control System Design, 2000. CACSD 2000. IEEE International Symposium on

Conference_Location

Anchorage, AK

Print_ISBN

0-7803-6566-6

Type

conf

DOI

10.1109/CACSD.2000.900219

Filename

900219