The mixed H2/H∞ model-order reduction

Salim Ibrir

doi:10.1109/IECON.2017.8216861

The mixed H₂/H_∞ model-order reduction

Salim Ibrir^*

^*Corresponding author for this work

King Fahd University of Petroleum & Minerals

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

A convex-optimization approach to H₂/H_∞ Model-order Reduction (MoR) of continuous-Time Linear Time-Invariant (LTI) systems is presented. The new numerical algorithm provides more information about the performance of the reduced-order model and generalizes the previous designs based upon H₂ and H_∞ norm minimization. Connection between the optimal projection methods and the proposed H₂/H_∞ algorithm is highlighted. The performance of the numerical procedure is assessed and compared to classical MoR methods.

Original language	English
Title of host publication	Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4988-4993
Number of pages	6
ISBN (Electronic)	9781538611272
DOIs	https://doi.org/10.1109/IECON.2017.8216861
State	Published - 15 Dec 2017

Publication series

Name	Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Volume	2017-January

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

ASJC Scopus subject areas

Industrial and Manufacturing Engineering
Control and Optimization
Energy Engineering and Power Technology
Electrical and Electronic Engineering

Access to Document

10.1109/IECON.2017.8216861

Cite this

Ibrir, S. (2017). The mixed H₂/H_∞ model-order reduction. In Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society (pp. 4988-4993). (Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IECON.2017.8216861

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abstract = "A convex-optimization approach to H2/H∞ Model-order Reduction (MoR) of continuous-Time Linear Time-Invariant (LTI) systems is presented. The new numerical algorithm provides more information about the performance of the reduced-order model and generalizes the previous designs based upon H2 and H∞ norm minimization. Connection between the optimal projection methods and the proposed H2/H∞ algorithm is highlighted. The performance of the numerical procedure is assessed and compared to classical MoR methods.",

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Ibrir, S 2017, The mixed H₂/H_∞ model-order reduction. in Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 4988-4993. https://doi.org/10.1109/IECON.2017.8216861

The mixed H₂/H_∞ model-order reduction. / Ibrir, Salim.
Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers Inc., 2017. p. 4988-4993 (Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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