A computationally efficient scheme for estimating linear noisy input-output systems

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

2 Citations (Scopus)

Abstract

This paper studies the computational efficiency of the bias-eliminated least-squares (BELS) method recently proposed for estimating linear systems in the presence of input and output noises. It is found that the BELS method based on expanding the denominator polynomial of the system transfer function by two dimensions may involve some redundant computations due to its handling of an augmented system model in its estimation scheme. To improve the computational efficiency, a direct estimation scheme is proposed to identify the underlying noisy input-output system. Numerical results show that the computational cost can be considerably reduced using such a new estimation scheme.

Original languageEnglish
Title of host publicationISCAS 2001 - 2001 IEEE International Symposium on Circuits and Systems, Conference Proceedings
Pages117-120
Number of pages4
DOIs
Publication statusPublished - 2001
Event2001 IEEE International Symposium on Circuits and Systems, ISCAS 2001 - Sydney, NSW, Australia
Duration: 6 May 20019 May 2001

Publication series

NameISCAS 2001 - 2001 IEEE International Symposium on Circuits and Systems, Conference Proceedings
Volume2

Conference

Conference2001 IEEE International Symposium on Circuits and Systems, ISCAS 2001
Country/TerritoryAustralia
CitySydney, NSW
Period6/05/019/05/01

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