Model Reduction of Linear Hybrid Systems

Ion Victor Gosea, Mihaly Petreczky, John-Josef Leth, Rafal Wisniewski, Athanasios C. Antoulas

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)

Abstract

The paper proposes a model reduction algorithm for linear hybrid systems, i.e., hybrid systems with externally induced discrete events, with linear continuous subsystems, and linear reset maps. The model reduction algorithm is based on balanced truncation. Moreover, the paper also proves an analytical error bound for the difference between the input-output behaviors of the original and the reduced-order model. This error bound is formulated in terms of singular values of the Gramians used for model reduction.

Original languageEnglish
Title of host publication2020 59th IEEE Conference on Decision and Control (CDC)
Number of pages8
PublisherIEEE
Publication date2020
Pages110-117
Article number9303918
ISBN (Print)978-1-7281-7448-8
ISBN (Electronic)978-1-7281-7447-1
DOIs
Publication statusPublished - 2020
Event 2020 59th IEEE Conference on Decision and Control (CDC) - Jeju Island, Korea, Republic of
Duration: 14 Dec 202018 Dec 2020

Conference

Conference 2020 59th IEEE Conference on Decision and Control (CDC)
Country/TerritoryKorea, Republic of
City Jeju Island
Period14/12/202018/12/2020
SeriesI E E E Conference on Decision and Control. Proceedings
ISSN0743-1546

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