Secure State Estimation Against Sensor Attacks in the Presence of Noise

We consider the problem of estimating the state of a noisy linear dynamical system when an unknown subset of sensors is arbitrarily corrupted by an adversary. We propose a secure state estimation algorithm, and derive (optimal) bounds on the achievable state estimation error given an upper bound on...

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Veröffentlicht in:	IEEE transactions on control of network systems Jg. 4; H. 1; S. 49 - 59
Hauptverfasser:	Mishra, Shaunak, Shoukry, Yasser, Karamchandani, Nikhil, Diggavi, Suhas N., Tabuada, Paulo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.03.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Combinatorial analysis Control systems Covariance matrices Dynamical systems Economic models Encoding Error detection Kalman filters Noise measurement Secure cyber-physical systems secure state reconstruction sensor attacks Sensors State estimation Symmetric matrices
ISSN:	2325-5870, 2372-2533
Online-Zugang:	Volltext
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