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Balanced state-space representations: a polynomial algebraic approach

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, 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.

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More information

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, China, 2009-12-16 - 2009-12-18
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 267956
URI: https://eprints.soton.ac.uk/id/eprint/267956
PURE UUID: d38b1a10-e0ec-4fd1-9a8d-078a3b34edb1

Catalogue record

Date deposited: 24 Sep 2009 20:36
Last modified: 02 Feb 2018 17:34

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