Balanced state-space representations: a polynomial algebraic approach
Balanced state-space representations: a polynomial algebraic approach
We show how to compute a minimal Riccati-balanced state map and a minimal Riccati-balanced state space representation starting from an image representation of a strictly dissipative system. The result is based on an iterative procedure to solve a generalization of the Nevanlinna interpolation problem.
Rapisarda, Paolo
79efc3b0-a7c6-4ca7-a7f8-de5770a4281b
Trentelman, Harry L.
28ee0a03-4052-46ce-8e7e-41f6a76fe450
Rapisarda, Paolo
79efc3b0-a7c6-4ca7-a7f8-de5770a4281b
Trentelman, Harry L.
28ee0a03-4052-46ce-8e7e-41f6a76fe450
Rapisarda, Paolo and Trentelman, Harry L.
(2009)
Balanced state-space representations: a polynomial algebraic approach.
Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, , Shanghai, China.
16 - 18 Dec 2009.
(In Press)
Record type:
Conference or Workshop Item
(Paper)
Abstract
We show how to compute a minimal Riccati-balanced state map and a minimal Riccati-balanced state space representation starting from an image representation of a strictly dissipative system. The result is based on an iterative procedure to solve a generalization of the Nevanlinna interpolation problem.
Text
CDCpaperMORRevised.pdf
- Accepted Manuscript
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Accepted/In Press date: 2009
Additional Information:
Event Dates: December 2009
Venue - Dates:
Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, , Shanghai, China, 2009-12-16 - 2009-12-18
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 267956
URI: http://eprints.soton.ac.uk/id/eprint/267956
PURE UUID: d38b1a10-e0ec-4fd1-9a8d-078a3b34edb1
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Date deposited: 24 Sep 2009 20:36
Last modified: 14 Mar 2024 09:01
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Contributors
Author:
Paolo Rapisarda
Author:
Harry L. Trentelman
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