DocumentCode :
2811773
Title :
A Prony-like polynomial-based approach to model order reduction
Author :
Coluccio, L. ; Eisinberg, A. ; Fedele, G.
Author_Institution :
Univ. degli Studi della Calabria, Rende
fYear :
2007
fDate :
27-29 June 2007
Firstpage :
1
Lastpage :
6
Abstract :
Presented in this paper is a Prony-like polynomial-based method to identify reduced-order linear models using response-matching technique. Impulse and step inputs have been considered. The poles configuration is automatically chosen by the solution of a new regression equation which uses modified signals obtained directly from the responses. The approach uses the algebraic derivatives method in the frequency domain yielding exact formula in terms of multiple integrals of the signal, when placed in the time domain. The effectiveness of the proposed method is shown by simulated experiments.
Keywords :
linear systems; polynomials; reduced order systems; Prony-like polynomial; algebraic derivatives method; model order reduction; reduced-order linear models; response matching; Control systems; Frequency domain analysis; Integral equations; Minimization methods; Optimization methods; Polynomials; Power system modeling; Reduced order systems; Signal analysis; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control & Automation, 2007. MED '07. Mediterranean Conference on
Conference_Location :
Athens
Print_ISBN :
978-1-4244-1282-2
Electronic_ISBN :
978-1-4244-1282-2
Type :
conf
DOI :
10.1109/MED.2007.4433831
Filename :
4433831
Link To Document :
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