2018/02/26 by Valery Ugrinovskii, Ugrinovskii, V.
Computer Science · Engineering · #Distributed Control Multi-Agent Systems #FOS: Electrical engineering #Fault Detection and Control Systems #Smart Grid Security and Resilience #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1802.09168
openalex publication_date 2018/02/26 · openalex created_date 2018/03/06 · openalex updated_date 2026/07/28
We consider the distributed H_∞ estimation problem with 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. Using a dynamic modelling of biasing attack inputs, a novel distributed state estimation algorithm is proposed which involves feedback from a network of attack detection filters. We show that each observer in the network can be computed in real time and in a decentralized fashion. When these controlled observers are interconnected to form a network, they are shown to cooperatively produce an unbiased estimate the plant, despite some of the nodes are compromised.