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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Veröffentlicht in:IEEE transactions on control of network systems Jg. 7; H. 1; S. 458 - 470
1. Verfasser: Ugrinovskii, Valery
Format: Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 01.03.2020
Schlagworte:
Distributed algorithms/control
distributed attack detection
estimation theory
resilient estimation and control
robust performance
ISSN:2325-5870, 2372-2533
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Zusammenfassung: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