What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Mathematical analysis
Control theory, Linear matrix inequality, Stability criterion, Exponential stability and Control system are his primary areas of study.
His work in Control theory is not limited to one particular discipline; it also encompasses Interval.
Qing-Long Han has included themes like Robust control, Filtering problem, Bounded function, Neutral systems and Relaxation in his Linear matrix inequality study.
His Stability criterion research is multidisciplinary, relying on both Takagi sugeno, Circle criterion and Linear stability.
His work in Exponential stability covers topics such as Filter which are related to areas like Markov chain, Passive filtering and Markov model.
His Control system study combines topics in areas such as Telecommunications network, Transmission, Distributed computing and Dropout.
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?
Qing-Long Han spends much of his time researching Control theory, Control theory, Control system, Nonlinear system and Linear system.
His Control theory study combines topics from a wide range of disciplines, such as Stability criterion, Interval and Network packet.
In his study, Asynchronous communication is inextricably linked to Fuzzy logic, which falls within the broad field of Control theory.
His Control system research incorporates themes from Telecommunications network, Real-time computing and Dropout.
He has researched Nonlinear system in several fields, including Multi-agent system and Steel jacket.
Within one scientific family, Qing-Long Han focuses on topics pertaining to Upper and lower bounds under Linear system, and may sometimes address concerns connected to Mathematical optimization.
He most often published in these fields:
- Control theory (70.57%)
- Control theory (22.67%)
- Control system (18.28%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (70.57%)
- Multi-agent system (10.60%)
- Control theory (22.67%)
In recent papers he was focusing on the following fields of study:
Qing-Long Han focuses on Control theory, Multi-agent system, Control theory, Nonlinear system and Control system.
The Control theory study combines topics in areas such as Network topology, Control and Network packet.
As a member of one scientific family, Qing-Long Han mostly works in the field of Multi-agent system, focusing on Topology and, on occasion, Synchronization.
Qing-Long Han interconnects Discrete time and continuous time, Exponential stability and Robustness in the investigation of issues within Control theory.
His Nonlinear system research is multidisciplinary, incorporating perspectives in Artificial neural network, Algorithm, Upper and lower bounds and Settling time.
His research investigates the connection between Control system and topics such as Telecommunications network that intersect with problems in Smart grid.
Between 2019 and 2021, his most popular works were:
- Networked control systems: a survey of trends and techniques (121 citations)
- Distributed Event-Triggered Estimation Over Sensor Networks: A Survey (81 citations)
- A Set-Membership Approach to Event-Triggered Filtering for General Nonlinear Systems Over Sensor Networks (66 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Mathematical analysis
His scientific interests lie mostly in Control theory, Nonlinear system, Control system, Multi-agent system and Smart grid.
Control theory connects with themes related to Observer in his study.
His research integrates issues of Artificial neural network, Algorithm, Moving horizon estimation and Random access in his study of Nonlinear system.
His biological study spans a wide range of topics, including Finite horizon and State observer.
As part of one scientific family, Qing-Long Han deals mainly with the area of Multi-agent system, narrowing it down to issues related to the Event triggered, and often Adaptive control, Protocol and Optimal control.
His research in Smart grid intersects with topics in Network topology, Wireless sensor network and Distributed computing.
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