%0 Conference Paper %1 conf/cdc/Ny15 %A Ny, Jerome Le %B CDC %D 2015 %I IEEE %K dblp %P 4499-4504 %T Privacy-preserving nonlinear observer design using contraction analysis. %U http://dblp.uni-trier.de/db/conf/cdc/cdc2015.html#Ny15 %@ 978-1-4799-7886-1

@inproceedings{conf/cdc/Ny15, added-at = {2017-05-19T00:00:00.000+0200}, author = {Ny, Jerome Le}, biburl = {https://www.bibsonomy.org/bibtex/20d505989fbb5fcbb0fae4bd8d67ef6ae/dblp}, booktitle = {CDC}, crossref = {conf/cdc/2015}, ee = {https://doi.org/10.1109/CDC.2015.7402922}, interhash = {0901400b25c3923ccfc3177eb101ebd2}, intrahash = {0d505989fbb5fcbb0fae4bd8d67ef6ae}, isbn = {978-1-4799-7886-1}, keywords = {dblp}, pages = {4499-4504}, publisher = {IEEE}, timestamp = {2019-10-17T19:03:43.000+0200}, title = {Privacy-preserving nonlinear observer design using contraction analysis.}, url = {http://dblp.uni-trier.de/db/conf/cdc/cdc2015.html#Ny15}, year = 2015 }