Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Seel, Katrine"'
Autor:
Haring, Mark, Grøtli, Esten Ingar, Riemer-Sørensen, Signe, Seel, Katrine, Hanssen, Kristian Gaustad
Low complexity of a system model is essential for its use in real-time applications. However, sparse identification methods commonly have stringent requirements that exclude them from being applied in an industrial setting. In this paper, we introduc
Externí odkaz:
http://arxiv.org/abs/2203.12379
Publikováno v:
In IFAC PapersOnLine 2021 54(20):46-52
Publikováno v:
In Procedia Computer Science 2021 192:3987-3997
Publikováno v:
In Procedia Computer Science 2021 192:3966-3978
Autor:
Haring, Mark, Grotli, Esten Ingar, Riemer-Sorensen, Signe, Seel, Katrine, Hanssen, Kristian Gaustad
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems; November 2023, Vol. 34 Issue: 11 p9323-9336, 14p