Partial fraction expansion based frequency weighted model reduction for discrete-time systems

D. Kumar; Ahmad Jazlan; Victor Sreeram; Roberto Togneri

doi:10.3934/naco.2016015

Partial fraction expansion based frequency weighted model reduction for discrete-time systems

D. Kumar, Ahmad Jazlan, Victor Sreeram, Roberto Togneri

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

© 2016 American Institute of Mathematical Sciences. All rights reserved.In this paper, a partial fraction expansion based frequency weight-ed model reduction algorithm is developed for discrete-time systems. The pro-posed method is an extension to the method by Sreeram et al. [13] and it yields stable reduced order models with both single and double sided weighting functions. Effectiveness of the proposed algorithm is demonstrated by a numerical example.

Original language	English
Pages (from-to)	329-337
Number of pages	9
Journal	Numerical Algebra, Control and Optimization
Volume	6
Issue number	3
DOIs	https://doi.org/10.3934/naco.2016015
Publication status	Published - Sept 2016

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title = "Partial fraction expansion based frequency weighted model reduction for discrete-time systems",

abstract = "{\textcopyright} 2016 American Institute of Mathematical Sciences. All rights reserved.In this paper, a partial fraction expansion based frequency weight-ed model reduction algorithm is developed for discrete-time systems. The pro-posed method is an extension to the method by Sreeram et al. [13] and it yields stable reduced order models with both single and double sided weighting functions. Effectiveness of the proposed algorithm is demonstrated by a numerical example.",

author = "D. Kumar and Ahmad Jazlan and Victor Sreeram and Roberto Togneri",

year = "2016",

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AU - Jazlan, Ahmad

AU - Sreeram, Victor

AU - Togneri, Roberto

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N2 - © 2016 American Institute of Mathematical Sciences. All rights reserved.In this paper, a partial fraction expansion based frequency weight-ed model reduction algorithm is developed for discrete-time systems. The pro-posed method is an extension to the method by Sreeram et al. [13] and it yields stable reduced order models with both single and double sided weighting functions. Effectiveness of the proposed algorithm is demonstrated by a numerical example.

AB - © 2016 American Institute of Mathematical Sciences. All rights reserved.In this paper, a partial fraction expansion based frequency weight-ed model reduction algorithm is developed for discrete-time systems. The pro-posed method is an extension to the method by Sreeram et al. [13] and it yields stable reduced order models with both single and double sided weighting functions. Effectiveness of the proposed algorithm is demonstrated by a numerical example.

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DO - 10.3934/naco.2016015

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JO - Numerical Algebra, Control and Optimization

JF - Numerical Algebra, Control and Optimization

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ER -

Partial fraction expansion based frequency weighted model reduction for discrete-time systems

Abstract

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