What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Statistics
Min Wu mainly investigates Control theory, Artificial neural network, Linear matrix inequality, Stability and Upper and lower bounds.
His biological study spans a wide range of topics, including Stability criterion, Stability and Derivative.
His Artificial neural network research incorporates elements of Exponential growth, Feedback control, Exponential stability and Bounded function.
His studies in Linear matrix inequality integrate themes in fields like Discrete time and continuous time, Numerical analysis, Lemma and Linear matrix.
His research integrates issues of Numerical stability and Mathematical optimization in his study of Stability.
The Upper and lower bounds study combines topics in areas such as Lyapunov functional, Load regulation, Automatic frequency control and Applied mathematics.
His most cited work include:
- Technical Communique: Delay-dependent criteria for robust stability of time-varying delay systems (921 citations)
- Technical communique: Delay-range-dependent stability for systems with time-varying delay (828 citations)
- Parameter-dependent Lyapunov functional for stability of time-delay systems with polytopic-type uncertainties (679 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Control theory, Artificial neural network, Control system, Control theory and Artificial intelligence.
His research on Control theory frequently links to adjacent areas such as Control engineering.
His Artificial neural network study combines topics in areas such as Exponential stability and Applied mathematics.
He interconnects Disturbance, State observer, Estimator, Process control and Robustness in the investigation of issues within Control system.
His Linear matrix inequality research incorporates themes from Robust control and Stability.
His Stability research is multidisciplinary, incorporating elements of Stability criterion, Derivative, Delay dependent, Mathematical optimization and Upper and lower bounds.
He most often published in these fields:
- Control theory (53.68%)
- Artificial neural network (14.84%)
- Control system (13.55%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (53.68%)
- Artificial intelligence (12.77%)
- Process (10.97%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Control theory, Artificial intelligence, Process, Fuzzy logic and Artificial neural network.
His work in Control theory tackles topics such as Estimator which are related to areas like Stability.
His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Pattern recognition.
His research on Process also deals with topics like
-
Directional drilling and related Model predictive control and Trajectory,
-
Sintering together with Process engineering.
His Fuzzy logic study also includes
-
Time series and Random forest most often made with reference to Cluster analysis,
-
Support vector machine together with Rate of penetration, Mathematical optimization and Data mining.
In his study, which falls under the umbrella issue of Artificial neural network, State and Stability criterion is strongly linked to Applied mathematics.
Between 2019 and 2021, his most popular works were:
- A relaxed quadratic function negative-determination lemma and its application to time-delay systems (34 citations)
- Dynamic Emotion Understanding in Human–Robot Interaction Based on Two-Layer Fuzzy SVR-TS Model (20 citations)
- Stability and Stabilization of T–S Fuzzy Systems With Time-Varying Delays via Delay-Product-Type Functional Method (19 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Statistics
His scientific interests lie mostly in Control theory, Artificial neural network, Artificial intelligence, Fuzzy logic and Control system.
The various areas that Min Wu examines in his Control theory study include Estimator and Process.
His study in Artificial neural network is interdisciplinary in nature, drawing from both Anomaly detection, Symmetric matrix, Applied mathematics and Dynamic time warping.
His studies in Fuzzy logic integrate themes in fields like Cluster analysis and Time series.
His work carried out in the field of Control system brings together such families of science as Observer, State observer, Control and Disturbance.
Min Wu has included themes like Stability criterion, Automatic frequency control and Electric power system in his Linear matrix inequality study.
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.
