Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Lindskog, Peter"'
Publikováno v:
In IFAC Proceedings Volumes 2009 42(10):522-527
Publikováno v:
In IFAC Proceedings Volumes 2006 39(1):931-936
Publikováno v:
In IFAC Proceedings Volumes September 2004 37(13):399-404
Autor:
Lindskog, Peter, Owe, Hedvig
Syfte och frågeställningar Syftet med uppsatsen är att undersöka elevers fritidsvanor och anledningen till varför elever i åk 9 utövar fysisk aktivitet eller inte. Frågeställningar: 1. Hur stor andel elever är regelbundet fysiskt aktiva/ina
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:gih:diva-3279
The paper describes additions to the MATLAB system identification toolbox, that handle also the estimation of nonlinear models. Both structured grey-box models and general, flexible black-box models are covered. The idea is that the look and feel of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a5774f5f6cad27cb32a11319d32f2e9a
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-56052
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-56052
Identification of non-linear systems is a challenge, due to the richness of both model structures and estimation approaches. As a case study, in this paper we test a number of methods on a data set collected from an electrical circuit at the Free Uni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::308999fe1adf636ea342c5b2cddebfd8
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-56058
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-56058
Autor:
Lindskog, Peter, Ljung, Lennart
We consider the situation where a non-linear physical system is identified from input-output data. In case no specific physical structural knowledge about the system is available, parameterized grey-box models cannot be used. Identification in black-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::61ce2e48e3df105a38cad05ecea7b47f
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-55835
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-55835
Publikováno v:
14th IFAC Symposium on System Identification (SYSID)
14th IFAC Symposium on System Identification (SYSID), Mar 2006, Newcastle, Australia. pp.931-936, ⟨10.3182/20060329-3-AU-2901.00148⟩
14th IFAC Symposium on System Identification (SYSID), Mar 2006, Newcastle, Australia. pp.931-936, ⟨10.3182/20060329-3-AU-2901.00148⟩
International audience; The paper describes additions to the Matlab System Identification Toolbox, that handle also the estimation of nonlinear models. Both structured grey-box models and general, flexible black-box models are covered. The idea is th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8225254eb53e907c4596353773f6c53a
https://inria.hal.science/hal-00854864
https://inria.hal.science/hal-00854864
Autor:
Forssell, Urban, Lindskog, Peter
This paper illustrates the power of combining semi-physical and neural network modeling in an application example. It is argued that some of the problems related to the use of neural networks, such as high dimensionality of the parameter space and pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7e7b40e9ad575a7a8bb109f91b984dbe
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-55386
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-55386
Autor:
Lindskog, Peter, Ljung, Lennart
We consider the situation where a nonlinear physical system is identified from input-output data. In case no specific physical structural knowledge about the system is available, parameterized grey box models cannot be used. Identification in black-b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d86931884bbb6b4a158b611adf961ebf
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-55385
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-55385