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...

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書目詳細資料
Main Authors:	Liu, Xinghua, Mo, Yilin, Garone, Emanuele
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2018
主題:	DRNTU::Engineering::Electrical and electronic engineering Cyber-physical Systems State Estimation
在線閱讀:	https://hdl.handle.net/10356/87830 http://hdl.handle.net/10220/46831
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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