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A bilinear differential forms approach to parametric structured state-space modelling

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, 1-13. (In Press)

Record type: Article

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.

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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

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Date deposited: 22 Feb 2016 10:27
Last modified: 12 Dec 2021 05:39

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Contributors

Author: P. Rapisarda
Author: A.C. Antoulas

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