M
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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The sector bound approach to quantized feedback control
Minyue Fu,Lihua Xie +1 more
TL;DR: The coarsest quantization densities for stabilization for multiple-input-multiple-output systems in both state feedback and output feedback cases are derived and conditions for quantized feedback control for quadratic cost and H/sub /spl infin// performances are derived.
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H/sub infinity / control and quadratic stabilization of systems with parameter uncertainty via output feedback
TL;DR: In this paper, the robust H/sub infinity / control problem of designing a linear dynamic output feedback controller such that the closed-loop system is quadratically stable and achieves a prescribed level of disturbance attenuation for all admissible parameter uncertainties is considered.
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Distributed Consensus With Limited Communication Data Rate
TL;DR: It is proved that under the protocol designed, for a connected network, average consensus can be achieved with an exponential convergence rate based on merely one bit information exchange between each pair of adjacent agents at each time step.
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A linear matrix inequality approach to robust H/sub /spl infin// filtering
Huaizhong Li,Minyue Fu +1 more
TL;DR: The main contribution of this paper is to show that the robust H/spl infin/ filtering problem can be solved using linear matrix inequality (LMI) techniques, which are numerically efficient owing to recent advances in convex optimization.
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Distributed Formation Control of Multi-Agent Systems Using Complex Laplacian
TL;DR: A new technique based on complex Laplacian is introduced to address the problems of which formation shapes specified by inter-agent relative positions can be formed and how they can be achieved with distributed control ensuring global stability.