Titlebook: Errors-in-Variables Methods in System Identification; Torsten S?derstr?m Book 2018 Springer International Publishing AG, part of Springer

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蛙鳴聲

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Prediction Error and Maximum Likelihood Methods,This chapter describes and analyzes maximum likelihood and prediction errormethods, tied to the EIV model used. Both time domain and frequency domain algorithms are treated. Various cases with different noise assumptions are included.

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Frequency Domain Methods,The chapter is devoted to some specific frequency domain methods. Both nonparametric and parametric estimators are presented. Further, frequency domain variants of the Frisch scheme and other GIVE estimators are given as well.

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Total Least Squares,The chapter treats total least squares (TLS), which in statistics corresponds to orthogonal regression. Some different extensions are discussed, including ways to show how uncertainties in different matrix elements may be related or correlated. The application of TLS to identification of dynamic systems is also treated.

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Book 2018set of noisy data, which traditional approaches to solutions, such as (total) least squares, do not find...A number of identification methods for the EIV problem are presented. Each method is accompanied with a detailed analysis based on statistical theory, and the relationship between the different

lacrimal-gland

0178-5354 s, do not find...A number of identification methods for the EIV problem are presented. Each method is accompanied with a detailed analysis based on statistical theory, and the relationship between the different978-3-030-09125-5978-3-319-75001-9Series ISSN 0178-5354 Series E-ISSN 2197-7119

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