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20132022
most citedDistributed Kalman Filter in a Network of Linear Dynamical Systems

9 citations · 32 across the 19 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

eess.SY2020★ 1 cited

Distributed Kalman Estimation with Decoupled Local Filters

Damián Marelli, Tianju Sui, Minyue Fu

We study a distributed Kalman filtering problem in which a number of nodes cooperate without central coordination to estimate a common state based on local measurements and data re…

eess.SY2020★ 1 cited

Convergence Rate of a Message-passing Algorithm for Solving Linear Systems

Zhaorong Zhang, Qianqian Cai, Minyue Fu

This paper studies the convergence rate of a message-passing distributed algorithm for solving a large-scale linear system. This problem is generalised from the celebrated Gaussian…

eess.SY2020★ 3 cited

Convergence and Accuracy Analysis for A Distributed Static State Estimator based on Gaussian Belief Propagation

Damián Marelli, Tianju Sui, Minyue Fu +1

This paper focuses on the distributed static estimation problem and a Belief Propagation (BP) based estimation algorithm is proposed. We provide a complete analysis for convergence…

eess.SY2020★ 2 cited

Distributed Weighted Least-squares Estimation for Networked Systems with Edge Measurements

Qiqi Yang, Zhaorong Zhang, Minyue Fu

This paper studies the problem of distributed weighted least-squares (WLS) estimation for an interconnected linear measurement network with additive noise. Two types of measurement…

eess.SY2020★ 4 cited

The Vulnerability of Cyber-Physical System under Stealthy Attacks

Tianju Sui, Yilin Mo, Damián Marelli +2

In this paper, we study the impact of stealthy attacks on the Cyber-Physical System (CPS) modeled as a stochastic linear system. An attack is characterised by a malicious injection…

eess.SY2020

Statistical Approach to Detection of Attacks for Stochastic Cyber-Physical Systems

Damián Marelli, Tianju Sui, Minyue Fu +1

We study the problem of detecting an attack on a stochastic cyber-physical system. We aim to treat the problem in its most general form. We start by introducing the notion of asymp…