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Partial fraction expansion based frequency weighted balanced singular perturbation approximation model reduction technique with error bounds

Kumar, Deepak and Haja Mohideen, Ahmad Jazlan and Sreeram, Victor and Togneri, Roberto (2016) Partial fraction expansion based frequency weighted balanced singular perturbation approximation model reduction technique with error bounds. In: IFAC Symposium on Systems Structure and Control, 22nd—24th June 2016, Istanbul, Turkey.

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Abstract

In this paper a new frequency weighted partial fraction expansion based model reduction technique is developed based on the partial fraction expansion approach. In order to further reduce the frequency weighted approximation error, singular perturbation approximation is incorporated into the algorithm. This technique results in stable reduced order models regardless if single sided or double sided weights are used. Error bounds are also derived for the proposed method. For minimization of the frequency weighted approximation error, free parameters are introduced into the algorithm.

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 7813/57733
Uncontrolled Keywords: Model ReductionFrequency WeightingSingular Perturbation ApproximationPartial Fraction ExpansionSquare Root Balancing
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr Ahmad Jazlan Haja Mohideen
Date Deposited: 27 Jul 2017 10:57
Last Modified: 12 Oct 2017 18:21
URI: http://irep.iium.edu.my/id/eprint/57733

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