| 书目名称 | Errors-in-Variables Methods in System Identification | | 编辑 | Torsten Söderström | | 视频video | | | 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 | | 丛书名称 | Communications and Control Engineering | | 图书封面 |  | | 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 | | 关键词 | Parameter Estimation; Identification Methods; Empirical Modelling; EIV Problems; Statistical System Iden | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-75001-9 | | isbn_softcover | 978-3-030-09125-5 | | isbn_ebook | 978-3-319-75001-9Series ISSN 0178-5354 Series E-ISSN 2197-7119 | | issn_series | 0178-5354 | | copyright | Springer International Publishing AG, part of Springer Nature 2018 |
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发表于 2025-3-21 16:11:54
