4 citations · 11 across the 7 of their papers we have counts for
7 papers
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 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…
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…
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…
Multi-sensor State Estimation over Lossy Channels using Coded Measurements
Tianju Sui, Damian Marelli, Ximing Sun +1
This paper focuses on a networked state estimation problem for a spatially large linear system with a distributed array of sensors, each of which offers partial state measurements,…
Accuracy Analysis for Distributed Weighted Least-Squares Estimation in Finite Steps and Loopy Networks
Tianju Sui, Damián Marelli, Minyue Fu +1
Distributed parameter estimation for large-scale systems is an active research problem. The goal is to derive a distributed algorithm in which each agent obtains a local estimate o…
Stability of Kalman Filtering with a Random Measurement Equation: Application to Sensor Scheduling with Intermittent Observations
Damián Marelli, Tianju Sui, Eduardo Rohr +1
Studying the stability of the Kalman filter whose measurements are randomly lost has been an active research topic for over a decade. In this paper we extend the existing results t…