2018
DOI: 10.5687/sss.2018.9 View full text |Buy / Rent full text
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Abstract: This paper investigates the problem of identifying errors-in-variables (EIV) models, where the both input and output measurements are corrupted by white noise, and addresses a new method to solve the problem. The identification problem of EIV models with unknown noise variances has been extensively studied and several methods have been proposed. To be further developed in terms of estimation accuracy, a generalized eigenvector method with no requirement of a priori knowledge about the noise variances is propos… Show more

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“…In recent years, a new BCP based method, named bias compensated weighted LS (BCWLS) method [5], has been proposed for EIV models identification. The BCWLS method utilizes the biased weighted LS (WLS) estimate.…”
Section: Introductionmentioning
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“…In recent years, a new BCP based method, named bias compensated weighted LS (BCWLS) method [5], has been proposed for EIV models identification. The BCWLS method utilizes the biased weighted LS (WLS) estimate.…”
Section: Introductionmentioning