Differentially private nonlinear observer design using contraction analysis

DOI10.1002/rnc.4392zbMath1466.93070arXiv1507.02250OpenAlexW2901932195MaRDI QIDQ4990601

Jerome Le Ny

Publication date: 31 May 2021

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1507.02250

zbMATH Keywords

nonlinear filteringdifferential privacynonlinear observer designprivacy-preserving data analysis

Mathematics Subject Classification ID

Epidemiology (92D30) Social networks; opinion dynamics (91D30) Nonlinear systems in control theory (93C10) Networked control (93B70) Observers (93B53)

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