Distributed H\infty Estimation Resilient to Biasing Attacks

We consider the distributed <inline-formula><tex-math notation="LaTeX">H_\infty</tex-math></inline-formula> estimation problem with an additional requirement of resilience to biasing attacks. An attack scenario is considered, where an adversary misappropriates some...

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Bibliographic Details
Published in:	IEEE transactions on control of network systems Vol. 7; no. 1; pp. 458 - 470
Main Author:	Ugrinovskii, Valery
Format:	Journal Article
Language:	English
Published:	IEEE 01.03.2020
Subjects:	Distributed algorithms/control distributed attack detection estimation theory resilient estimation and control robust performance
ISSN:	2325-5870, 2372-2533
Online Access:	Get full text
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Summary:	We consider the distributed <inline-formula><tex-math notation="LaTeX">H_\infty</tex-math></inline-formula> estimation problem with an additional requirement of resilience to biasing attacks. An attack scenario is considered, where an adversary misappropriates some of the observer nodes and injects biasing signals into observer dynamics. This paper proposes a procedure for the derivation of a distributed observer, which endows each node with an attack detector, which also functions as an attack compensating feedback controller for the main observer. Connecting these controlled observers into a network results in a distributed observer whose nodes produce unbiased robust estimates of the plant. We show that the gains for each controlled observer in the network can be computed in a decentralized fashion, thus reducing vulnerability of the network.
ISSN:	2325-5870 2372-2533
DOI:	10.1109/TCNS.2019.2924192