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.
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