%0 Conference Paper %1 conf/cdc/PeralezN21 %A Peralez, Johan %A Nadri, Madiha %B CDC %D 2021 %I IEEE %K dblp %P 4370-4375 %T Deep Learning-based Luenberger observer design for discrete-time nonlinear systems. %U http://dblp.uni-trier.de/db/conf/cdc/cdc2021.html#PeralezN21 %@ 978-1-6654-3659-5

@inproceedings{conf/cdc/PeralezN21, added-at = {2022-02-08T00:00:00.000+0100}, author = {Peralez, Johan and Nadri, Madiha}, biburl = {https://www.bibsonomy.org/bibtex/2d1b6d056cedbb61974d1c195d0e81a93/dblp}, booktitle = {CDC}, crossref = {conf/cdc/2021}, ee = {https://doi.org/10.1109/CDC45484.2021.9683485}, interhash = {f694ae898bed1e9e31ab520eb542e609}, intrahash = {d1b6d056cedbb61974d1c195d0e81a93}, isbn = {978-1-6654-3659-5}, keywords = {dblp}, pages = {4370-4375}, publisher = {IEEE}, timestamp = {2024-04-09T15:27:42.000+0200}, title = {Deep Learning-based Luenberger observer design for discrete-time nonlinear systems.}, url = {http://dblp.uni-trier.de/db/conf/cdc/cdc2021.html#PeralezN21}, year = 2021 }