What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Statistics
Dong Yue focuses on Control theory, Stability, Control system, Linear matrix inequality and Exponential stability.
Dong Yue frequently studies issues relating to Mathematical optimization and Control theory.
His studies deal with areas such as Probability distribution and Interval as well as Stability.
His Control system research includes themes of Security controls, Lyapunov function, Nonlinear system and Smart grid.
He has included themes like Event, Full state feedback and State in his Exponential stability study.
His Networked control system study combines topics from a wide range of disciplines, such as Linear matrix, Event triggered, System model and Network packet.
His most cited work include:
- Network-based robust H∞ control of systems with uncertainty (963 citations)
- A Delay System Method for Designing Event-Triggered Controllers of Networked Control Systems (890 citations)
- State feedback controller design of networked control systems (760 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Control theory, Nonlinear system, Control theory, Control system and Mathematical optimization.
His work is dedicated to discovering how Control theory, Stability are connected with Probability distribution and other disciplines.
In his work, Control is strongly intertwined with Multi-agent system, which is a subfield of Nonlinear system.
His studies in Control system integrate themes in fields like Control engineering and Network packet.
Dong Yue combines subjects such as Stability, Robustness and Economic dispatch with his study of Mathematical optimization.
His research in Fuzzy control system intersects with topics in Fuzzy number and Discrete time and continuous time.
He most often published in these fields:
- Control theory (60.80%)
- Nonlinear system (21.80%)
- Control theory (15.30%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (60.80%)
- Nonlinear system (21.80%)
- Multi-agent system (11.53%)
In recent papers he was focusing on the following fields of study:
His main research concerns Control theory, Nonlinear system, Multi-agent system, Microgrid and Denial-of-service attack.
Observer, Control theory, Fuzzy control system, Lyapunov function and Discrete time and continuous time are among the areas of Control theory where the researcher is concentrating his efforts.
In most of his Control theory studies, his work intersects topics such as Linear matrix inequality.
His Nonlinear system study combines topics in areas such as Artificial neural network, Bounded function and Fuzzy logic.
He has researched Multi-agent system in several fields, including Stability, State and Constraint.
His research investigates the link between Control system and topics such as Telecommunications network that cross with problems in Automation and Network packet.
Between 2019 and 2021, his most popular works were:
- Networked control systems: a survey of trends and techniques (121 citations)
- Observer-Based Event-Triggered Control for Networked Linear Systems Subject to Denial-of-Service Attacks (43 citations)
- Observer Design of Discrete-Time Fuzzy Systems Based on an Alterable Weights Method (38 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Statistics
Dong Yue mainly focuses on Control theory, Control system, Denial-of-service attack, Telecommunications network and Distributed computing.
Control theory and Piecewise are two areas of study in which Dong Yue engages in interdisciplinary research.
His Control system research integrates issues from Scheduling, Computer network, Lyapunov stability and Stability criterion.
His work deals with themes such as Cascading failure and Electric power system, which intersect with Telecommunications network.
Dong Yue interconnects Control theory, System model, Security controls and Cyber-physical system in the investigation of issues within Distributed computing.
The study incorporates disciplines such as Linear matrix inequality and Discrete time and continuous time in addition to Fuzzy control system.
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