When Are Errors-in-Variables Aspects Important to Consider in System Identification?
Author:
Affiliation:
1. Uppsala University,Division of Systems and Control,Department of Information Technology,Uppsala,Sweden,SE-751 05
2. University of Bologna,Dept of Electrical, Electronic and Information Engineering,Bologna,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9837955/9837961/09838030.pdf?arnumber=9838030
Reference21 articles.
1. Covariance analysis in SISO linear systems identification
2. How to Make Bias and Variance Errors Insensitive to System and Model Complexity in Identification
3. Variance Error Quantifications That Are Exact for Finite-Model Order
4. Optimum robust detection of changes in the AR part of a multivariable ARMA process
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Bias Considerations When Identifying Systems from Noisy Input-Output Data — Extensions to General Model Structures;2024 European Control Conference (ECC);2024-06-25
2. Aspects on errors-in-variables identification: Some ways to mitigate a large bias;IFAC-PapersOnLine;2023
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