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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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發(fā)表于 2025-3-21 16:11:54 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Errors-in-Variables Methods in System Identification
編輯Torsten S?derstr?m
視頻videohttp://file.papertrans.cn/315/314946/314946.mp4
概述Shows the reader how to deal with measurement noises present in both input to and output from a system.Assists readers in establishing the physical laws that describe their processes.Compares the resu
叢書(shū)名稱Communications and Control Engineering
圖書(shū)封面Titlebook: Errors-in-Variables Methods in System Identification; Torsten S?derstr?m Book 2018 Springer International Publishing AG, part of Springer
描述.This book presents an overview of the different errors-in-variables (EIV) methods that can be used for system identification. Readers will explore the properties of an EIV problem. Such problems play an important role when the purpose is the determination of the physical laws that describe the process, rather than the prediction or control of its future behaviour. EIV problems typically occur when the purpose of the modelling is to get physical insight into a process. Identifiability of the model parameters for EIV problems is a non-trivial issue, and sufficient conditions for identifiability are given. The author covers various modelling aspects which, taken together, can find a solution, including the characterization of noise properties, extension to multivariable systems, and continuous-time models. The book finds solutions that are constituted of methods that are compatible with a set 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
出版日期Book 2018
關(guān)鍵詞Parameter Estimation; Identification Methods; Empirical Modelling; EIV Problems; Statistical System Iden
版次1
doihttps://doi.org/10.1007/978-3-319-75001-9
isbn_softcover978-3-030-09125-5
isbn_ebook978-3-319-75001-9Series ISSN 0178-5354 Series E-ISSN 2197-7119
issn_series 0178-5354
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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發(fā)表于 2025-3-21 20:28:19 | 只看該作者
Steven H. Graham MD, PhD,Robert W Hickey MDhe system is then not identifiable. Further, it is discussed under what additional conditions identifiability prevails. The methodology provided by the factor analysis modeling and by the Frisch scheme are also described.
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發(fā)表于 2025-3-22 02:53:55 | 只看該作者
M. Brock,C. Fieschi,K. Schürmanne provided. Specific identifiability results are described for the case of parametric modeling. There are also identifiability results for the special cases with either multiple experiments, or closed-loop operations.
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https://doi.org/10.1007/978-1-4614-4148-9scheme constitutes the technique for another class. Both these classes are shown to be special cases of the so-called generalized instrumental variable (GIVE) method. Many different special cases of GIVE are presented.
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發(fā)表于 2025-3-23 01:29:37 | 只看該作者
The Static Case,he system is then not identifiable. Further, it is discussed under what additional conditions identifiability prevails. The methodology provided by the factor analysis modeling and by the Frisch scheme are also described.
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發(fā)表于 2025-3-23 06:59:29 | 只看該作者
Identifiability Aspects,e provided. Specific identifiability results are described for the case of parametric modeling. There are also identifiability results for the special cases with either multiple experiments, or closed-loop operations.
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