Survey of analytical IV estimates for errors-in-variables model identification
نویسندگان
چکیده
منابع مشابه
Bias-compensation based method for errors-in-variables model identification
It is well known that least-squares (LS) method gives biased parameter estimates when the input and output measurements are corrupted by noise. One possible approach for solving this bias problem is the bias-compensation based method such as the bias-compensated least-squares (BCLS) method. In this paper, a new bias-compnesation based method is proposed for identification of noisy input-output ...
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Identification of nonlinear errors-in-variables models
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ژورنال
عنوان ژورنال: IFAC Proceedings Volumes
سال: 2011
ISSN: 1474-6670
DOI: 10.3182/20110828-6-it-1002.02752