Zobrazeno 1 - 10
of 289
pro vyhledávání: '"Torsten Söderström"'
Autor:
Torsten Söderström, Umberto Soverini
Publikováno v:
IFAC-PapersOnLine. 53:914-920
This paper describes a new approach for the blind identification of a two-channel FIR system from a finite number of output measurements, in the presence of additive and uncorrelated white noise. The proposed approach is based on frequency domain dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6c2f9c7a764eb496f539929a2f5e03a
https://doi.org/10.1016/j.ifacol.2020.12.855
https://doi.org/10.1016/j.ifacol.2020.12.855
Autor:
Torsten Söderström
Publikováno v:
Control Engineering Practice. 89:56-69
The paper starts with a brief survey of errors-in-variables methods in system identification. Background and motivation are given, and it is illustrated why the identification problem can be difficult. Under general weak assumptions, the system is no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d12df0f2a21173f3892d8efc7943125e
https://doi.org/10.1016/j.conengprac.2019.05.013
https://doi.org/10.1016/j.conengprac.2019.05.013
Autor:
Torsten Söderström, Umberto Soverini
This paper describes a new approach for identifying FIR models from a finite number of measurements, in the presence of additive and uncorrelated white noise. In particular, two different frequency domain algorithms are proposed. The first algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f55899f88f5d3fecca893700bd93b397
http://hdl.handle.net/11585/789539
http://hdl.handle.net/11585/789539
Autor:
Torsten Söderström, Umberto Soverini
Several estimation methods have been proposed for identifying errors-in-variables systems, where both input and output measurements are corrupted by noise. One of the more interesting approaches is the Frisch scheme. The method can be applied using e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00670bab24327db5e98f10f94c547f06
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447686
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447686
Recently, maximum likelihood estimators were derived for frequency domain identification of linear time-invariant models with Gaussian input–output uncertainty. This note draws attention to an issue that arises in one of the steps in the optimizati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29c657bbdf36321817a213135f23bef1
http://hdl.handle.net/11585/727993
http://hdl.handle.net/11585/727993
Autor:
Torsten Söderström
Publikováno v:
Communications and Control Engineering ISBN: 9783319750002
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2564e93c3b17061f08e821d9fce0e441
https://doi.org/10.1007/978-3-319-75001-9
https://doi.org/10.1007/978-3-319-75001-9
Autor:
Torsten Söderström
Publikováno v:
Errors-in-Variables Methods in System Identification ISBN: 9783319750002
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b4e07d2aadb77b77190a511498ad0ec
https://doi.org/10.1007/978-3-319-75001-9_13
https://doi.org/10.1007/978-3-319-75001-9_13
Autor:
Torsten Söderström
Publikováno v:
Errors-in-Variables Methods in System Identification ISBN: 9783319750002
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99ab8b17996b203588a6a18376f72280
https://doi.org/10.1007/978-3-319-75001-9_8
https://doi.org/10.1007/978-3-319-75001-9_8
Autor:
Torsten Söderström
Publikováno v:
Errors-in-Variables Methods in System Identification ISBN: 9783319750002
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93f82a6662261fa358da0418fa9f0b5c
https://doi.org/10.1007/978-3-319-75001-9_4
https://doi.org/10.1007/978-3-319-75001-9_4
Autor:
Torsten Söderström
Publikováno v:
Errors-in-Variables Methods in System Identification ISBN: 9783319750002
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f27fe454d182aaf51d3e2acf5d18383
https://doi.org/10.1007/978-3-319-75001-9_5
https://doi.org/10.1007/978-3-319-75001-9_5