Title :
Introduction to MORE: A MOdel REduction toolbox
Author :
Poussot-Vassal, C. ; Vuillemin, P.
Author_Institution :
Onera - The French Aerosp. Lab., Toulouse, France
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;
Conference_Titel :
Control Applications (CCA), 2012 IEEE International Conference on
Conference_Location :
Dubrovnik
Print_ISBN :
978-1-4673-4503-3
Electronic_ISBN :
1085-1992
DOI :
10.1109/CCA.2012.6402441