An LFT/SDP approach to the uncertainty analysis for state

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/2838

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DC Field	Value	Language
dc.contributor.author	Nagar, A	-
dc.contributor.author	Powell, R S	-
dc.coverage.spatial	6	en
dc.date.accessioned	2008-11-19T16:15:56Z	-
dc.date.available	2008-11-19T16:15:56Z	-
dc.date.issued	2002	-
dc.identifier.citation	IEE Proceedings Control Theory and Applications. 149(2) 137-142, Mar 2002	en
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/2838	-
dc.description.abstract	A state estimator is an algorithm that computes the current state of a time-varying system from on-line measurements. Physical quantities such as measurements and parameters are characterised by uncertainty. Understanding how uncertainty affects the accuracy of state estimates is therefore a pre-requisite to the application of such techniques to real systems. In this paper we develop a method of uncertainty analysis based on linear fractional transformations (LFT) and obtain ellipsoid-of-confidence bounds by recasting the LFT problem into a semidefinite programming problem (SDP). The ideas are illustrated by applying them to a simple water distribution network.	en
dc.format.extent	229914 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	IET	en
dc.subject	State estimation	en
dc.subject	Linear fractional transformation	en
dc.subject	Uncertainty	en
dc.subject	Water networks	en
dc.title	An LFT/SDP approach to the uncertainty analysis for state	en
dc.type	Research Paper	en
Appears in Collections:	Electronic and Computer Engineering Dept of Electronic and Electrical Engineering Research Papers

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