Approximation of discrete linear systems based on a dual criterion

Ubaid M. Al-Saggaf

doi:10.1080/00207729108910618

Approximation of discrete linear systems based on a dual criterion

Ubaid M. Al-Saggaf^*

^*Corresponding author for this work

King Fahd University of Petroleum & Minerals

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

4 Scopus citations

Abstract

A new method for approximating scalar discrete linear systems is described. The method can be classified as a time domain/frequency domain technique. Two reduced order models are obtained. One is obtained when the time domain specifications are in terms of the impulse response of the error. The other is derived when the time domain specifications are in terms of the step response of the error. The technique utilizes the input normal system representation to determine the order and the denominator polynomial of the reduced order model.

Original language	English
Pages (from-to)	383-392
Number of pages	10
Journal	International Journal of Systems Science
Volume	22
Issue number	2
DOIs	https://doi.org/10.1080/00207729108910618
State	Published - Feb 1991

ASJC Scopus subject areas

Control and Systems Engineering
Theoretical Computer Science
Computer Science Applications

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10.1080/00207729108910618

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title = "Approximation of discrete linear systems based on a dual criterion",

abstract = "A new method for approximating scalar discrete linear systems is described. The method can be classified as a time domain/frequency domain technique. Two reduced order models are obtained. One is obtained when the time domain specifications are in terms of the impulse response of the error. The other is derived when the time domain specifications are in terms of the step response of the error. The technique utilizes the input normal system representation to determine the order and the denominator polynomial of the reduced order model.",

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AB - A new method for approximating scalar discrete linear systems is described. The method can be classified as a time domain/frequency domain technique. Two reduced order models are obtained. One is obtained when the time domain specifications are in terms of the impulse response of the error. The other is derived when the time domain specifications are in terms of the step response of the error. The technique utilizes the input normal system representation to determine the order and the denominator polynomial of the reduced order model.

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DO - 10.1080/00207729108910618

M3 - Article

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EP - 392

JO - International Journal of Systems Science

JF - International Journal of Systems Science

IS - 2

ER -

Approximation of discrete linear systems based on a dual criterion

Abstract

ASJC Scopus subject areas

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