Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/2838
Title: | An LFT/SDP approach to the uncertainty analysis for state |
Authors: | Nagar, A Powell, R S |
Keywords: | State estimation;Linear fractional transformation;Uncertainty;Water networks |
Issue Date: | 2002 |
Publisher: | IET |
Citation: | IEE Proceedings Control Theory and Applications. 149(2) 137-142, Mar 2002 |
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. |
URI: | http://bura.brunel.ac.uk/handle/2438/2838 |
Appears in Collections: | Electronic and Computer Engineering Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
paper1.pdf | 224.53 kB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.