A New Biased Model Order Reduction for Higher Order Interval Systems

This paper presents a new biased method for order reduction of linear continuous time interval systems. This method is based on the Stability equation method, Pade approximation and Kharitonov’s theorem. The higher order interval system is represented by four Kharitonov transfer functions using the...

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Main Authors: Mangipudi Siva Kumar, Gulshad Begum
Format: Article
Language:English
Published: VSB-Technical University of Ostrava 2016-01-01
Series:Advances in Electrical and Electronic Engineering
Subjects:
Online Access:http://advances.utc.sk/index.php/AEEE/article/view/1395
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spelling doaj-ae210936fb2749e2815c1eeb962069042021-10-11T08:03:05ZengVSB-Technical University of OstravaAdvances in Electrical and Electronic Engineering1336-13761804-31192016-01-0114214515210.15598/aeee.v14i2.1395805A New Biased Model Order Reduction for Higher Order Interval SystemsMangipudi Siva Kumar0Gulshad Begum1Department of EEE Gudlavalleru Engineering College GUDLAVALLERU 521 356. Krishna District.A.P. Ph No:08674-273737Department of EEE Gudlavalleru Engineering College GUDLAVALLERU 521 356. Krishna District.A.P.This paper presents a new biased method for order reduction of linear continuous time interval systems. This method is based on the Stability equation method, Pade approximation and Kharitonov’s theorem. The higher order interval system is represented by four Kharitonov transfer functions using the Kharitonov’s theorem, and then reduced order models are obtained by the general form of the Stability equation method and Pade approximation. The Stability equation method is used to obtain a reduced order denominator polynomial while the Pade approximation is used for reduced order numerator coefficients. This method generates a stable reduced order model if the original higher order interval system is stable. The proposed method is illustrated with the help of typical numerical examples considered from the literature, and these are compared with well-known methods to show the efficacy of the proposed method.http://advances.utc.sk/index.php/AEEE/article/view/1395interval systemkharitonov’s theoremmodel order reductionpade approximationstability equation method.
collection DOAJ
language English
format Article
sources DOAJ
author Mangipudi Siva Kumar
Gulshad Begum
spellingShingle Mangipudi Siva Kumar
Gulshad Begum
A New Biased Model Order Reduction for Higher Order Interval Systems
Advances in Electrical and Electronic Engineering
interval system
kharitonov’s theorem
model order reduction
pade approximation
stability equation method.
author_facet Mangipudi Siva Kumar
Gulshad Begum
author_sort Mangipudi Siva Kumar
title A New Biased Model Order Reduction for Higher Order Interval Systems
title_short A New Biased Model Order Reduction for Higher Order Interval Systems
title_full A New Biased Model Order Reduction for Higher Order Interval Systems
title_fullStr A New Biased Model Order Reduction for Higher Order Interval Systems
title_full_unstemmed A New Biased Model Order Reduction for Higher Order Interval Systems
title_sort new biased model order reduction for higher order interval systems
publisher VSB-Technical University of Ostrava
series Advances in Electrical and Electronic Engineering
issn 1336-1376
1804-3119
publishDate 2016-01-01
description This paper presents a new biased method for order reduction of linear continuous time interval systems. This method is based on the Stability equation method, Pade approximation and Kharitonov’s theorem. The higher order interval system is represented by four Kharitonov transfer functions using the Kharitonov’s theorem, and then reduced order models are obtained by the general form of the Stability equation method and Pade approximation. The Stability equation method is used to obtain a reduced order denominator polynomial while the Pade approximation is used for reduced order numerator coefficients. This method generates a stable reduced order model if the original higher order interval system is stable. The proposed method is illustrated with the help of typical numerical examples considered from the literature, and these are compared with well-known methods to show the efficacy of the proposed method.
topic interval system
kharitonov’s theorem
model order reduction
pade approximation
stability equation method.
url http://advances.utc.sk/index.php/AEEE/article/view/1395
work_keys_str_mv AT mangipudisivakumar anewbiasedmodelorderreductionforhigherorderintervalsystems
AT gulshadbegum anewbiasedmodelorderreductionforhigherorderintervalsystems
AT mangipudisivakumar newbiasedmodelorderreductionforhigherorderintervalsystems
AT gulshadbegum newbiasedmodelorderreductionforhigherorderintervalsystems
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