On kernel structures for regularized system identification (I): a machine learning perspective**This work has been supported by a research grant for junior researchers No. 621-2014-5894 and the Linnaeus Center CADICS, both funded by the Swedish Research Council, and the ERC advanced grant LEARN, No. 267381, funded by the European Research Council.http://www.hamecmopsys.ens2m.fr.-Reference-Cited by-同舟云学术

On kernel structures for regularized system identification (I): a machine learning perspective**This work has been supported by a research grant for junior researchers No. 621-2014-5894 and the Linnaeus Center CADICS, both funded by the Swedish Research Council, and the ERC advanced grant LEARN, No. 267381, funded by the European Research Council.http://www.hamecmopsys.ens2m.fr.

Published:2015 Issue:28 Volume:48 Page:1035-1040
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Chen Tianshi,Ljung Lennart

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference19 articles.

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5. Chen, T. and Ljung, L. (2015a). On kernel structure for regularized system identification (ii): a system theory perspective. In Proceedings of the IFAC Symposium on System Identification, to appear. Beijing, China.

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