Data-driven model reduction by moment matching for linear systems through a swapped interconnection
File(s)
Accepted version
Author(s)
Mao, Junyu
Scarciotti, Giordano
Type
Conference Paper
Abstract
In this work, we propose a time-domain data-
driven technique for model reduction by moment matching of
linear systems. We propose an algorithm, based on the so-called
swapped interconnection, that (asymptotically) approximates an
arbitrary number of moments of the system from a single
time-domain sample. A family of reduced-order models that
match the estimated moments is derived. Finally, the use of the
proposed algorithm is demonstrated on the problem of model
reduction of a building model
driven technique for model reduction by moment matching of
linear systems. We propose an algorithm, based on the so-called
swapped interconnection, that (asymptotically) approximates an
arbitrary number of moments of the system from a single
time-domain sample. A family of reduced-order models that
match the estimated moments is derived. Finally, the use of the
proposed algorithm is demonstrated on the problem of model
reduction of a building model
Date Issued
2022-08-05
Date Acceptance
2022-02-28
Citation
2022, pp.1690-1695
Publisher
IEEE
Start Page
1690
End Page
1695
Copyright Statement
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
https://ieeexplore.ieee.org/document/9838134
Source
European Control Conference 2022
Publication Status
Published
Start Date
2022-07-12
Finish Date
2022-07-15
Coverage Spatial
London, UK
Date Publish Online
2022-08-05