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Minyue Fu

Researcher at University of Newcastle

Publications -  501
Citations -  14976

Minyue Fu is an academic researcher from University of Newcastle. The author has contributed to research in topics: Linear system & Kalman filter. The author has an hindex of 58, co-authored 484 publications receiving 13107 citations. Previous affiliations of Minyue Fu include University of Wisconsin-Madison & Guangdong University of Technology.

Papers
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Optimal sensor scheduling for state estimation over lossy channel

TL;DR: This study studies a sensor scheduling problem for the state estimation of a stochastic discrete-time system where the measurements are to be sent from multiple sensors to a centralised estimator through a lossy channel through a carrier sense multiple access/collision avoidance protocol.
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Necessary and Sufficient Conditions for Stability of Kalman Filtering with Markovian Packet Losses

TL;DR: In this paper, the stability of Kalman filtering over a network with random packet losses, which are modeled by a Markov process, is studied and two stability notions, namely stability in stopping times and sampling times, are introduced to analyze the behavior of the estimation error covariance matrix.
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Stability Analysis of Finite-Level Quantized Discrete-Time Linear Control Systems

TL;DR: The stability of discrete-time linear time-invariant systems subject to finite-level logarithmic quantized feedback is investigated, and a linear matrix inequality approach is developed to estimate a set of admissible initial states and an associated attractor set.
Proceedings ArticleDOI

Distributed augmented lambda-iteration method for economic dispatch in smart grid

TL;DR: This paper studies the EDP with general cost functions, transmission losses and prohibited operating zones, and proposes the distributed augmented lambda-iteration method, which has the advantages that it can get the optimal dispatch in the presence of prohibitedoperating zones and effectively avoid the oscillatory behavior.
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Two Schemes of Data Dropout Compensation for LQG Control of Networked Control Systems

TL;DR: In this paper, two simple compensation schemes are explored for state estimation with missing measurements in which the input of the plant is set to zero if a packet is lost, and the hold-input strategy, in which previous input is used with packet dropout.