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Model Order Reduction-A Time Domain Approach

Published on December 2011 by M. G. Soni, D. R. Chitara, Pooja Soni
journal_cover_thumbnail

International Conference on Electronics, Information and Communication Engineering
Foundation of Computer Science USA
ICEICE - Number 2
December 2011
Authors: M. G. Soni, D. R. Chitara, Pooja Soni
14fdc744-a30b-40b7-a607-bcdeff3a8efa

M. G. Soni, D. R. Chitara, Pooja Soni . Model Order Reduction-A Time Domain Approach. International Conference on Electronics, Information and Communication Engineering. ICEICE, 2 (December 2011), 6-9.

@article{
author = { M. G. Soni, D. R. Chitara, Pooja Soni },
title = { Model Order Reduction-A Time Domain Approach },
journal = { International Conference on Electronics, Information and Communication Engineering },
issue_date = { December 2011 },
volume = { ICEICE },
number = { 2 },
month = { December },
year = { 2011 },
issn = 0975-8887,
pages = { 6-9 },
numpages = 4,
url = { /specialissues/iceice/number2/4257-iceice011/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 International Conference on Electronics, Information and Communication Engineering
%A M. G. Soni
%A D. R. Chitara
%A Pooja Soni
%T Model Order Reduction-A Time Domain Approach
%J International Conference on Electronics, Information and Communication Engineering
%@ 0975-8887
%V ICEICE
%N 2
%P 6-9
%D 2011
%I International Journal of Computer Applications
Abstract

Modeling of real time system posses a large number of problems. It is a challenging task to model accurately a large real time system. Modeling of large real time systems results in large number of differential or difference equations that lead to state variable or transfer function models that represents a higher order system. It is very difficult to handle such a higher order system model for the analysis and design purposes. This paper presents an overview of time domain techniques that can be used to reduce the higher order model to a lower order one. The requirement of model order reduction is that the reduced order model so obtained should retain the important and key qualitative and quantitative properties such as stability, transient and steady state response etc. of the original system.

References
  1. R. Prasad, ‘Analysis and design of control system using reduced order models’, PhD. Thesis Department of Electrical Engineering, University of Roorkee, Feb. 1989.
  2. A. Gruca and P. Bertrand, ‘Approximation of higher order systems by low order models with delays’, Int. J. Control, No. 6, 1978, pp. 953-965.
  3. J. E. Davison, ‘A new method for simplifying large linear dynamic systems’, IEEE Trans., Automat. Control, vol. AC-13, April, 1968, pp. 214-215.
  4. M. Avoki, ‘Control of large dynamic system by aggregation’, IEEE Trans., Automat. Control, vol. AC-13, 1968, pp. 246-256.
  5. M. Avoki, ‘Control of large scale dynamic systems by aggregation’, IEEE Trans. Automat. Control, vol. AC-13, 1986, pp. 246-253.
  6. K. Ogata, ‘Modern Control Engineering’, PHI. Pvt. Ltd., 2nd Edition, 2004.
Index Terms

Computer Science
Information Sciences

Keywords

Model Order Reduction Modal Analysis Approach