DocumentCode
2827977
Title
Introduction to MORE: A MOdel REduction toolbox
Author
Poussot-Vassal, C. ; Vuillemin, P.
Author_Institution
Onera - The French Aerosp. Lab., Toulouse, France
fYear
2012
fDate
3-5 Oct. 2012
Firstpage
776
Lastpage
781
Abstract
In many highly technological engineering fields, the use of dedicated computer-based dynamical system modeling software often leads to large dimensional Linear Time Invariant (LTI) models. These kind of models, composed of a large amount of variables might render drastically inefficient many analysis, control design and optimization techniques. As a matter of fact, considerable attention has been devoted to the development of model reduction - or approximation - techniques to eliminate irrelevant state variables. This paper presents a new freely-available MATLAB©-based toolbox for approximation of medium and large-scale LTI dynamical models, called MORE (MOdel REduction), which implements a collection of very recent advanced algorithms for LTI dynamical model reduction purpose.
Keywords
control engineering computing; control system synthesis; linear systems; optimisation; reduced order systems; LTI dynamical model; MORE; Matlab@based toolbox; approximation technique; computer-based dynamical system modeling software; control system design; linear time invariant; model reduction; optimization; Computational modeling; Interpolation; MATLAB; MIMO; Mathematical model; Reduced order systems; Matlab toolbox; large-scale linear dynamical systems; model reduction;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications (CCA), 2012 IEEE International Conference on
Conference_Location
Dubrovnik
ISSN
1085-1992
Print_ISBN
978-1-4673-4503-3
Electronic_ISBN
1085-1992
Type
conf
DOI
10.1109/CCA.2012.6402441
Filename
6402441
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