نتائج البحث - "Söderström, Torsten"

1

Aspects on errors-in-variables identification: Some ways to mitigate a large bias

المؤلفون: Söderström, Torsten, Soverini, Umberto

المصدر: IFAC-PapersOnLine. 56(2):4019-4024

مصطلحات موضوعية: System Identification, Errors-in-variables, Bias

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-533861
https://doi.org/10.1016/j.ifacol.2023.10.1383
https://uu.diva-portal.org/smash/get/diva2:1880363/FULLTEXT01.pdf

View record in SwePub

2

Relations Between Prediction Error and Maximum Likelihood Methods in an Error-in-Variables Setting. Extended version with full proofs

المؤلفون: Söderström, Torsten

المصدر: Technical report / Department of Information Technology, Uppsala University.

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-529484
https://uu.diva-portal.org/smash/get/diva2:1861825/FULLTEXT01.pdf

View record in SwePub

3

The Frisch scheme for EIV system identification: time and frequency domain formulations

المؤلفون: Soverini, Umberto, Söderström, Torsten

المصدر: IFAC PapersOnline. :907-913

مصطلحات موضوعية: System identification, EIV models, Frisch scheme, Discrete Fourier Transform

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447686
https://doi.org/10.1016/j.ifacol.2020.12.851
https://uu.diva-portal.org/smash/get/diva2:1575085/FULLTEXT01.pdf

View record in SwePub

4

Blind identification of two-channel FIR systems: a frequency domain approach

المؤلفون: Soverini, Umberto, Söderström, Torsten

المصدر: IFAC PapersOnline. :914-920

مصطلحات موضوعية: Blind identification, FIR systems, Discrete Fourier Transform

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447685
https://doi.org/10.1016/j.ifacol.2020.12.855
https://uu.diva-portal.org/smash/get/diva2:1575082/FULLTEXT01.pdf

View record in SwePub

5

Analyzing the Parameter Bias when an Instrumental Variable Method is Used with Noise-Corrupted Data

المؤلفون: Söderström, Torsten, Soverini, Umberto

المصدر: Technical report / Department of Information Technology, Uppsala University.

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-529305
https://uu.diva-portal.org/smash/get/diva2:1861646/FULLTEXT01.pdf

View record in SwePub

6

Analyzing the Parameter Bias when an ARMAX Model is Fitted to Noise-Corrupted Data

المؤلفون: Söderström, Torsten, Soverini, Umberto

المصدر: Technical report / Department of Information Technology, Uppsala University.

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-529304
https://uu.diva-portal.org/smash/get/diva2:1861645/FULLTEXT01.pdf

View record in SwePub

7

Conference

Bias Considerations When Identifying Systems from Noisy Input-Output Data — Extensions to General Model Structures

المؤلفون: Söderström, Torsten, Soverini, Umberto

المصدر: 2024 European Control Conference (ECC)

الاتاحة: http://dx.doi.org/10.23919/ecc64448.2024.10590941
http://xplorestaging.ieee.org/ielx8/10590709/10590710/10590941.pdf?arnumber=10590941

View record in BASE

8

Conference

Relations Between Prediction Error and Maximum Likelihood Methods in an Error-in-Variables Setting

المؤلفون: Söderström, Torsten

المصدر: 2024 European Control Conference (ECC)

الاتاحة: http://dx.doi.org/10.23919/ecc64448.2024.10590809
http://xplorestaging.ieee.org/ielx8/10590709/10590710/10590809.pdf?arnumber=10590809

View record in BASE

9

When are Errors-in-Variables Aspects Particularly Important to Consider in System Identification?

المؤلفون: Söderström, Torsten, Soverini, Umberto

المصدر: Technical report / Department of Information Technology, Uppsala University.

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-529555
https://uu.diva-portal.org/smash/get/diva2:1861896/FULLTEXT01.pdf

View record in SwePub

10

Bias considerations when identifying systems form noisy input-output data with low identifiability - extensions to general model structures

المؤلفون: Söderström, Torsten, Soverini, Umberto

المصدر: European Control Conference.

وصف الملف: print

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-544036

11

Errors-in-variables system identification using structural equation modeling

المؤلفون: Kreiberg, David, Söderström, Torsten, Yang-Wallentin, Fan

المصدر: Automatica. 66:218-230

مصطلحات موضوعية: System identification, Errors-in-variables models, Linear systems, Structural equation models, Statistics, Statistik

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-277383
https://uu.diva-portal.org/smash/get/diva2:904894/FULLTEXT02.pdf

View record in SwePub

12

When Are Errors-in-Variables Aspects Important to Consider in System Identification?

المؤلفون: Söderström, Torsten, Soverini, Umberto

المصدر: 2022 European Control Conference (ECC). :315-320

مصطلحات موضوعية: system identification, errors-in-variables, bias, parameter estimation, output error model

وصف الملف: print

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-487624

13

Academic Journal

Partial Least Squares: A First-Order Analysis

المؤلفون: Söderström, Torsten

المصدر: Scandinavian Journal of Statistics, 1998 Mar 01. 25(1), 17-24.

URL الوصول: https://www.jstor.org/stable/4616481

14

The Frisch Scheme: Time and Frequency Domain Aspects

المؤلفون: Soverini, Umberto, Söderström, Torsten

المصدر: Technical report / Department of Information Technology, Uppsala University.

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-529522
https://uu.diva-portal.org/smash/get/diva2:1861863/FULLTEXT01.pdf

View record in SwePub

15

Frequency Domain Identification of FIR Models from Noisy Input-Output Data

المؤلفون: Soverini, Umberto, Söderström, Torsten

المصدر: Technical report / Department of Information Technology, Uppsala University.

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-529377
https://uu.diva-portal.org/smash/get/diva2:1861718/FULLTEXT01.pdf

View record in SwePub

16

Identification of two-dimensional complex sinusoids in white noise: a state-space frequency approach

المؤلفون: Soverini, Umberto, Söderström, Torsten

المصدر: Technical report / Department of Information Technology, Uppsala University.

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-529641
https://uu.diva-portal.org/smash/get/diva2:1862292/FULLTEXT01.pdf

View record in SwePub

17

2D-Frequency Domain Identification of Complex Sinusoids in the Presence of Additive Noise

المؤلفون: Soverini, Umberto, Söderström, Torsten

المصدر: Technical report / Department of Information Technology, Uppsala University.

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-529251
https://uu.diva-portal.org/smash/get/diva2:1861592/FULLTEXT01.pdf

View record in SwePub

18

Identification of two-dimensional complex sinusoids in white noise: a state-space frequency approach

المؤلفون: Soverini, Umberto, Söderström, Torsten

المصدر: Technical report / Department of Information Technology, Uppsala University.

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-529644
https://uu.diva-portal.org/smash/get/diva2:1862297/FULLTEXT01.pdf

View record in SwePub

19

2D-Frequency Domain Identification of Complex Sinusoids in the Presence of Additive Noise

المؤلفون: Soverini, Umberto, Söderström, Torsten

المصدر: Technical report / Department of Information Technology, Uppsala University.

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-529252
https://uu.diva-portal.org/smash/get/diva2:1861593/FULLTEXT01.pdf

View record in SwePub

20

Errors-in-Variables Identification using Maximum Likelihood Estimation in the Frequency Domain

المؤلفون: Söderström, Torsten, Soverini, Umberto

المصدر: Technical report / Department of Information Technology, Uppsala University.

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-529361
https://uu.diva-portal.org/smash/get/diva2:1861702/FULLTEXT01.pdf

View record in SwePub

تنقيح النتائج