Model validation for robust control of uncertain systems with an integral quadratic constraint

dc.contributor.author	Savkin, Andrey V.	en
dc.contributor.author	Petersen, Ian R.	en
dc.date.accessioned	2025-03-23T03:26:40Z
dc.date.available	2025-03-23T03:26:40Z
dc.date.issued	1996	en
dc.description.abstract	This paper presents a new approach to the model validation problem for a class of uncertain systems in which the uncertainty is described by an integral quadratic constraint. The proposed model validation algorithm is based on the solution to a game-type Riccati differential equation and a set of state equations closely related to a robust Kalman filtering problem.	en
dc.description.status	true	en
dc.format.extent	4	en
dc.identifier.other	Scopus:0030127626	en
dc.identifier.uri	https://dspace-test.anu.edu.au/handle/1885/733731074
dc.identifier.url	http://www.scopus.com/inward/record.url?scp=0030127626&partnerID=8YFLogxK	en
dc.language.iso	English	en
dc.source	Automatica	en
dc.subject	Kalman filters	en
dc.subject	Uncertain dynamic systems	en
dc.subject	Validation	en
dc.title	Model validation for robust control of uncertain systems with an integral quadratic constraint	en
dc.type	Article	en
local.bibliographicCitation.lastpage	606	en
local.bibliographicCitation.startpage	603	en
local.contributor.affiliation	Savkin, Andrey V.; University of Melbourne	en
local.contributor.affiliation	Petersen, Ian R.; University of New South Wales	en
local.identifier.citationvolume	32	en
local.identifier.doi	10.1016/0005-1098(95)00167-0	en
local.identifier.pure	2b49a537-77e2-4f07-9c20-b4607ee32b2f	en
local.type.status	Published	en

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