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State–space modeling for control based on physics-informed ..:
Arnold, Florian
;
King, Rudibert
Engineering Applications of Artificial Intelligence. 101 (2021) - p. 104195 , 2021
Link:
https://doi.org/10.1016/j.engappai.2021.104195
RT Journal T1 <Title>State–space modeling for control based on physics-informed neural networks</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.engappai.2021.104195&Exemplar=1&LAN=DE A1 Arnold, Florian A1 King, Rudibert PB Elsevier BV YR 2021 SN 0952-1976 JF Engineering Applications of Artificial Intelligence VO 101 SP 104195 LK http://dx.doi.org/https://doi.org/10.1016/j.engappai.2021.104195 DO https://doi.org/10.1016/j.engappai.2021.104195 SF ELIB - SuUB Bremen
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