D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 52 Citations 12,101 296 World Ranking 990 National Ranking 31

Research.com Recognitions

Awards & Achievements

2004 - IEEE Fellow For contributions to robust control and signal estimation.

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Statistics
  • Artificial intelligence

His primary areas of investigation include Control theory, Linear system, Robustness, Quantization and Mathematical optimization. His study in Quadratic equation extends to Control theory with its themes. When carried out as part of a general Linear system research project, his work on LTI system theory is frequently linked to work in Perturbation, therefore connecting diverse disciplines of study.

The various areas that Minyue Fu examines in his Robustness study include Filter, Filtering problem, Alpha beta filter, Applied mathematics and Kalman filter. Minyue Fu combines subjects such as Control system and Logarithm with his study of Quantization. Minyue Fu has included themes like Stability, Multi-agent system and Smart grid in his Mathematical optimization study.

His most cited work include:

  • The sector bound approach to quantized feedback control (1175 citations)
  • H/sub infinity / control and quadratic stabilization of systems with parameter uncertainty via output feedback (489 citations)
  • Distributed Consensus With Limited Communication Data Rate (401 citations)

What are the main themes of his work throughout his whole career to date?

Minyue Fu focuses on Control theory, Linear system, Algorithm, Mathematical optimization and Kalman filter. His study in Control theory, Robustness, Actuator, Robust control and Control system is carried out as part of his Control theory studies. His Linear system research is multidisciplinary, incorporating perspectives in Quadratic equation, Quantization and Output feedback.

The Algorithm study combines topics in areas such as Distributed algorithm, Convergence, Rate of convergence and Wireless sensor network. His Mathematical optimization study combines topics in areas such as Multi-agent system, Smart grid and Nonlinear system. His Kalman filter research is multidisciplinary, relying on both Covariance and Estimator.

He most often published in these fields:

  • Control theory (55.88%)
  • Linear system (18.88%)
  • Algorithm (20.81%)

What were the highlights of his more recent work (between 2017-2021)?

  • Algorithm (20.81%)
  • Control theory (55.88%)
  • Kalman filter (13.29%)

In recent papers he was focusing on the following fields of study:

Minyue Fu mainly focuses on Algorithm, Control theory, Kalman filter, Applied mathematics and Distributed algorithm. His research on Algorithm also deals with topics like

  • Convergence, which have a strong connection to Robustness,
  • Node that connect with fields like Optimization problem. His study in Control theory is interdisciplinary in nature, drawing from both Initial value problem, Estimator and Network packet.

The concepts of his Kalman filter study are interwoven with issues in Covariance, Computation and State. His research in Applied mathematics intersects with topics in State, State variable and Optimal control. In his work, Mathematical optimization is strongly intertwined with Stochastic matrix, which is a subfield of State.

Between 2017 and 2021, his most popular works were:

  • A distributed Kalman filtering algorithm with fast finite-time convergence for sensor networks (33 citations)
  • A distributed Kalman filtering algorithm with fast finite-time convergence for sensor networks (33 citations)
  • Finite-Time $H_{\infty}$ Filtering for Nonlinear Singular Systems With Nonhomogeneous Markov Jumps (29 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Artificial intelligence
  • Control theory

Minyue Fu mainly investigates Control theory, Algorithm, Kalman filter, Mathematical optimization and Robustness. Minyue Fu studies Control theory, focusing on Control system in particular. His study focuses on the intersection of Algorithm and fields such as Distributed algorithm with connections in the field of Signal processing and Convergence.

His biological study spans a wide range of topics, including Linear system, Combinatorics, Covariance, Covariance function and Node. His Mathematical optimization study incorporates themes from Multi-agent system, Discrete time and continuous time and Nonlinear system. His work focuses on many connections between Robustness and other disciplines, such as Wireless sensor network, that overlap with his field of interest in Distributed File System, Clock rate, Clock synchronization and Spanning tree.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

The sector bound approach to quantized feedback control

Minyue Fu;Lihua Xie.
IEEE Transactions on Automatic Control (2005)

1369 Citations

H/sub infinity / control and quadratic stabilization of systems with parameter uncertainty via output feedback

L. Xie;M. Fu;C.E. de Souza.
IEEE Transactions on Automatic Control (1992)

604 Citations

A linear matrix inequality approach to robust H/sub /spl infin// filtering

Huaizhong Li;Minyue Fu.
IEEE Transactions on Signal Processing (1997)

602 Citations

Distributed Consensus With Limited Communication Data Rate

Tao Li;Minyue Fu;Lihua Xie;Ji-Feng Zhang.
IEEE Transactions on Automatic Control (2011)

456 Citations

Adaptive stabilization of linear systems via switching control

Minyue Fu;B. Barmish.
IEEE Transactions on Automatic Control (1986)

382 Citations

Distributed Formation Control of Multi-Agent Systems Using Complex Laplacian

Zhiyun Lin;Lili Wang;Zhimin Han;Minyue Fu.
IEEE Transactions on Automatic Control (2014)

304 Citations

Robust stability for time-delay systems: the edge theorem and graphical tests

M. Fu;A.W. Olbrot;M.P. Polis.
IEEE Transactions on Automatic Control (1989)

272 Citations

H∞ estimation for discrete-time linear uncertain systems

Lihua Xie;Carlos E. de Souza;Minyue Fu.
International Journal of Robust and Nonlinear Control (1991)

270 Citations

H∞ estimation for uncertain systems

Minyue Fu;Carlos E. de Souza;Lihua Xie.
International Journal of Robust and Nonlinear Control (1992)

250 Citations

Piecewise Lyapunov functions for robust stability of linear time-varying systems

Lin Xie;Serge Shishkin;Minyue Fu.
Systems & Control Letters (1997)

249 Citations

Best Scientists Citing Minyue Fu

Lihua Xie

Lihua Xie

Nanyang Technological University

Publications: 190

Peng Shi

Peng Shi

University of Adelaide

Publications: 121

Zidong Wang

Zidong Wang

Brunel University London

Publications: 120

Guang-Hong Yang

Guang-Hong Yang

Northeastern University

Publications: 73

Huanshui Zhang

Huanshui Zhang

Shandong University

Publications: 59

Sing Kiong Nguang

Sing Kiong Nguang

University of Auckland

Publications: 49

Magdi S. Mahmoud

Magdi S. Mahmoud

King Fahd University of Petroleum and Minerals

Publications: 42

Hideaki Ishii

Hideaki Ishii

Tokyo Institute of Technology

Publications: 42

Huijun Gao

Huijun Gao

Harbin Institute of Technology

Publications: 40

Carlos E. de Souza

Carlos E. de Souza

LNCC : National Laboratory for Scientific Computing

Publications: 38

Ju H. Park

Ju H. Park

Yeungnam University

Publications: 37

Gang Feng

Gang Feng

City University of Hong Kong

Publications: 36

Toshiharu Sugie

Toshiharu Sugie

Kyoto University

Publications: 36

Yeng Chai Soh

Yeng Chai Soh

Nanyang Technological University

Publications: 35

Li Qiu

Li Qiu

Hong Kong University of Science and Technology

Publications: 33

Roberto Tempo

Roberto Tempo

Polytechnic University of Turin

Publications: 31

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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