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Order Reduction of Linear Dynamic System Using MATLAB Programming Method

Published on None 2011 by D.Devi, P.Poongodi
journal_cover_thumbnail

International Conference on VLSI, Communication & Instrumentation
Foundation of Computer Science USA
ICVCI - Number 15
None 2011
Authors: D.Devi, P.Poongodi
4225c409-9f7b-4c23-94e5-27f6bf4750a9

D.Devi, P.Poongodi . Order Reduction of Linear Dynamic System Using MATLAB Programming Method. International Conference on VLSI, Communication & Instrumentation. ICVCI, 15 (None 2011), 23-25.

@article{
author = { D.Devi, P.Poongodi },
title = { Order Reduction of Linear Dynamic System Using MATLAB Programming Method },
journal = { International Conference on VLSI, Communication & Instrumentation },
issue_date = { None 2011 },
volume = { ICVCI },
number = { 15 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 23-25 },
numpages = 3,
url = { /proceedings/icvci/number15/2743-1565/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on VLSI, Communication & Instrumentation
%A D.Devi
%A P.Poongodi
%T Order Reduction of Linear Dynamic System Using MATLAB Programming Method
%J International Conference on VLSI, Communication & Instrumentation
%@ 0975-8887
%V ICVCI
%N 15
%P 23-25
%D 2011
%I International Journal of Computer Applications
Abstract

This paper presents an algorithm for model order reduction of linear dynamic systems using the in MATLAB programming method. The denominator and the numerator coefficients of the reduced order model is obtained by the using pole-zero relationship between given higher order model and the mentioned lower order model. This proposed method is implemented in MATLAB m-file; it retains the original characteristics of the higher order model. It is shown that the proposed method has several advantages like: The reduction procedure is simple compared to other conventional techniques and the error is also minimized. The proposed algorithm has also been used for the order reduction of linear multivariable systems.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Higher order model Model order reduction MATLAB steady state value