What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Statistics
Feng Qian spends much of his time researching Control theory, Meteorology, Synchronization, Urban design and Network topology.
His work carried out in the field of Control theory brings together such families of science as Measure and State.
His Meteorology research includes elements of Urban climate and Scatter plot.
Feng Qian studied Synchronization and Control theory that intersect with Chua's circuit.
His Urban design study incorporates themes from Urban structure, Airflow, Ventilation and Enclosure.
Other disciplines of study, such as Multi-agent system, Nonlinear system and Network planning and design, are mixed together with his Network topology studies.
His most cited work include:
- Quasi-synchronization of heterogeneous dynamic networks via distributed impulsive control (222 citations)
- Network-based leader-following consensus of nonlinear multi-agent systems via distributed impulsive control ☆ (196 citations)
- Synchronization in complex networks and its application – A survey of recent advances and challenges (194 citations)
What are the main themes of his work throughout his whole career to date?
Feng Qian mainly focuses on Mathematical optimization, Control theory, Artificial intelligence, Process engineering and Nonlinear system.
His Mathematical optimization study frequently draws connections between related disciplines such as Benchmark.
The concepts of his Control theory study are interwoven with issues in Multi-agent system and Synchronization.
Feng Qian integrates Multi-agent system with Network topology in his research.
His research investigates the connection between Artificial intelligence and topics such as Pattern recognition that intersect with problems in Cluster analysis.
He combines subjects such as Scientific method, Cracking and Ethylene with his study of Process engineering.
He most often published in these fields:
- Mathematical optimization (24.12%)
- Control theory (18.59%)
- Artificial intelligence (12.56%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial intelligence (12.56%)
- Multi-agent system (7.54%)
- Control theory (18.59%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Artificial intelligence, Multi-agent system, Control theory, Mathematical optimization and Process engineering.
The various areas that Feng Qian examines in his Artificial intelligence study include Process control and Computer vision.
The Multi-agent system study combines topics in areas such as Distributed computing and Control, Adaptive control.
His Control theory study focuses mostly on Control theory and Nonlinear system.
His Control theory research integrates issues from Bounded function and Synchronization.
His studies deal with areas such as Energy consumption, Data-driven and Selection as well as Mathematical optimization.
Between 2019 and 2021, his most popular works were:
- Adaptive Consensus Control of Linear Multiagent Systems With Dynamic Event-Triggered Strategies (34 citations)
- Input-to-state stability for nonlinear systems with stochastic impulses (31 citations)
- Large-scale industrial energy systems optimization under uncertainty: A data-driven robust optimization approach (23 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Statistics
Control theory, Artificial intelligence, Deep learning, Nonlinear system and Multi-agent system are his primary areas of study.
Feng Qian is interested in Control theory, which is a branch of Control theory.
His studies in Artificial intelligence integrate themes in fields like Process optimization and Refinery.
His study in Deep learning is interdisciplinary in nature, drawing from both Monocular, Computational complexity theory, Cracking, Applications of artificial intelligence and Transfer of learning.
His Nonlinear system study integrates concerns from other disciplines, such as Stochastic process, Resource management, Topology, Stability and Control.
Feng Qian works mostly in the field of Multi-agent system, limiting it down to topics relating to Distributed computing and, in certain cases, Robustness, as a part of the same area of interest.
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.
