Paper Info
Title
Introduction to MORE: A MOdel REduction toolbox
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.
Year
DOI
Venue
2012
10.1109/CCA.2012.6402441
Control Applications
Keywords
Field
DocType
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,Matlab toolbox,large-scale linear dynamical systems,model reduction
LTI system theory,Linear system,Control theory,Computer science,Toolbox,Control engineering,Theoretical computer science,Software,State variable,Dynamical system
Conference
ISSN
ISBN
Citations 
1085-1992 E-ISBN : 978-1-4673-4504-0
978-1-4673-4504-0
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Charles Poussot-Vassal12513.45
Pierre Vuillemin273.85
Poussot-Vassal, C.300.34