activity
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

collaborators

19 papers

math.OC2022★ 1 cited

LQG Differential Stackelberg Game under Nested Observation Information Pattern

Zhipeng Li, Damian Marelli, Minyue Fu +1

We investigate the linear quadratic Gaussian Stackelberg game under a class of nested observation information pattern. Two decision makers implement control strategies relying on d…

eess.SY2022

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…

math.OC2021★ 1 cited

Distributed Newton Optimization with Maximized Convergence Rate

Damián Marelli, Yong Xu, Minyue Fu +1

The distributed optimization problem is set up in a collection of nodes interconnected via a communication network. The goal is to find the minimizer of a global objective function…

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…