DocumentCode :
1163165
Title :
Laguerre-Gram reduced-order modeling
Author :
Amghayrir, Ahmed ; Tanguy, Noël ; Bréhonnet, Pascale ; Vilbé, Pierre ; Calvez, Léon-claude
Author_Institution :
Lab. d´´Electronique et des Syst.s de Telecommun., Univ. of Brest, France
Volume :
50
Issue :
9
fYear :
2005
Firstpage :
1432
Lastpage :
1435
Abstract :
We present an efficient model reduction procedure based on the Laguerre description of the system to be approximated. Using a one-order operator defined in the Laplace domain we construct a pencil of functions and formulate the problem as the minimization of the L2(R+) criterion. The use of a weight function in the inner product definition allows a control of the time-error spreading in model reduction procedure. We show how the required Gram matrix can be computed efficiently and prove that the impulse response of the reduced model is also in L2(R+). The transfer function approach allows an immediate and promising application in model reduction of infinite dimensional systems. An extension to multiple-input-multiple-output systems is also given.
Keywords :
MIMO systems; approximation theory; matrix algebra; minimisation; modelling; multidimensional systems; reduced order systems; stochastic processes; Gram matrix; Laguerre function; Laguerre-Gram reduced-order modeling; Laplace domain; impulse response; infinite dimensional system; inner product definition; minimization method; model reduction procedure; model-order reduction; multiple-input-multiple-output system; one-order operator; transfer function; weight function; Hilbert space; Industrial control; MIMO; Parameter estimation; Polynomials; Reduced order systems; Signal analysis; System identification; Transfer functions; Infinite-dimensional systems; Laguerre functions; model-order reduction;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2005.854653
Filename :
1506957
Link To Document :
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