Secure dynamic state estimation by decomposing Kalman filter

Secure dynamic state estimation by decomposing Kalman filter

We consider the problem of estimating the state of a linear time-invariant Gaussian system in the presence of sparse integrity attacks. The attacker can control p out of m sensors and arbitrarily change the measurements. Under mild assumptions, we can decompose the optimal Kalman estimate as a weigh...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Liu, Xinghua, Mo, Yilin, Garone, Emanuele
Kolejni autorzy: School of Electrical and Electronic Engineering
Format: Journal Article
Język:English
Wydane: 2018
Hasła przedmiotowe:
DRNTU::Engineering::Electrical and electronic engineering
Cyber-physical Systems
State Estimation
Dostęp online:https://hdl.handle.net/10356/87830
http://hdl.handle.net/10220/46831

Internet

https://hdl.handle.net/10356/87830
http://hdl.handle.net/10220/46831

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