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Information-theoretic approaches to privacy in estimation and control
KTH, School of Electrical Engineering and Computer Science (EECS), Automatic Control.
Univ Texas Austin, Austin, TX 78712 USA..
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0002-7926-5081
KTH, School of Electrical Engineering and Computer Science (EECS), Automatic Control. KTH, School of Electrical Engineering and Computer Science (EECS), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9940-5929
2019 (English)In: Annual Reviews in Control, ISSN 1367-5788, E-ISSN 1872-9088, Vol. 47, p. 412-422Article, review/survey (Refereed) Published
Abstract [en]

Network control systems (NCSs) heavily rely on information and communication technologies for sharing information between sensors and controllers as well as controllers and actuators. When estimation, control or actuation tasks in a NCS are performed by an untrusted party, sharing information might result in the leakage of private information. The current paper reviews some of the recent results on the privacy-aware decision-making problems in NCSs. In particular, we focus on static and dynamic decision-making problems wherein privacy is measured using information-theoretic notions. We also review the applications of these problems in smart buildings and smart grids. 

Place, publisher, year, edition, pages
PERGAMON-ELSEVIER SCIENCE LTD , 2019. Vol. 47, p. 412-422
Keywords [en]
Privacy, Information theory, Networked control systems
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-255503DOI: 10.1016/j.arcontrol.2019.04.006ISI: 000474680200028Scopus ID: 2-s2.0-85064542337OAI: oai:DiVA.org:kth-255503DiVA, id: diva2:1354815
Note

QC 20190926

Available from: 2019-09-26 Created: 2019-09-26 Last updated: 2019-09-26Bibliographically approved

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Nekouei, EhsanSkoglund, MikaelJohansson, Karl H.

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