%0 Conference Paper %1 conf/cdc/BarreauALJ21 %A Barreau, Matthieu %A Aguiar, Miguel %A Liu, John %A Johansson, Karl Henrik %B CDC %D 2021 %I IEEE %K dblp %P 2653-2658 %T Physics-informed Learning for Identification and State Reconstruction of Traffic Density. %U http://dblp.uni-trier.de/db/conf/cdc/cdc2021.html#BarreauALJ21 %@ 978-1-6654-3659-5

@inproceedings{conf/cdc/BarreauALJ21, added-at = {2023-06-26T00:00:00.000+0200}, author = {Barreau, Matthieu and Aguiar, Miguel and Liu, John and Johansson, Karl Henrik}, biburl = {https://www.bibsonomy.org/bibtex/28822ae710c17b978c2090cfa369405d7/dblp}, booktitle = {CDC}, crossref = {conf/cdc/2021}, ee = {https://doi.org/10.1109/CDC45484.2021.9683295}, interhash = {ca7df7365b4b4ff501c83ac1d23bee46}, intrahash = {8822ae710c17b978c2090cfa369405d7}, isbn = {978-1-6654-3659-5}, keywords = {dblp}, pages = {2653-2658}, publisher = {IEEE}, timestamp = {2024-04-09T15:27:42.000+0200}, title = {Physics-informed Learning for Identification and State Reconstruction of Traffic Density.}, url = {http://dblp.uni-trier.de/db/conf/cdc/cdc2021.html#BarreauALJ21}, year = 2021 }