A bilinear differential forms approach to parametric structured state-space modelling
A bilinear differential forms approach to parametric structured state-space modelling
We use one-variable Loewner techniques to compute polynomial-parametric models for MIMO systems from vector-exponential data gathered at various points in the parameter space. Instrumental in our approach are the connections between vector-exponential modelling via bilinear differential forms and the Loewner framework.
1-13
Rapisarda, P.
79efc3b0-a7c6-4ca7-a7f8-de5770a4281b
Antoulas, A.C.
51ea15c9-5da0-46c1-82fc-3641ed596a00
Rapisarda, P.
79efc3b0-a7c6-4ca7-a7f8-de5770a4281b
Antoulas, A.C.
51ea15c9-5da0-46c1-82fc-3641ed596a00
Rapisarda, P. and Antoulas, A.C.
(2016)
A bilinear differential forms approach to parametric structured state-space modelling.
[in special issue: In memoriam Jan C. Willems]
Systems & Control Letters, .
(In Press)
Abstract
We use one-variable Loewner techniques to compute polynomial-parametric models for MIMO systems from vector-exponential data gathered at various points in the parameter space. Instrumental in our approach are the connections between vector-exponential modelling via bilinear differential forms and the Loewner framework.
Text
ParametricModellingShortRevisedAfter2ndReferee.pdf
- Author's Original
More information
Accepted/In Press date: 22 February 2016
Organisations:
Vision, Learning and Control
Identifiers
Local EPrints ID: 388206
URI: http://eprints.soton.ac.uk/id/eprint/388206
PURE UUID: f7499180-51d9-4d87-8e25-c3a8364c6586
Catalogue record
Date deposited: 22 Feb 2016 10:27
Last modified: 15 Mar 2024 05:24
Export record
Contributors
Author:
P. Rapisarda
Author:
A.C. Antoulas
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
Loading...View more statistics
