4 citations · 17 across the 9 of their papers we have counts for
7 papers · 1 filter
Reinforcement Learning Approach to Estimation in Linear Systems
Minyue Fu
This paper addresses two important estimation problems for linear systems, namely system identification and model-free state estimation. Our focus is on ARMAX models with unknown p…
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…
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…
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…
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…
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…