2023 - Research.com Electronics and Electrical Engineering in China Leader Award
Long Wang spends much of his time researching Control theory, Multi-agent system, Consensus, Network topology and Mathematical optimization. Many of his studies on Control theory involve topics that are commonly interrelated, such as Stability. His Multi-agent system research includes elements of Distributed computing, Protocol, Topology and Topology.
His studies deal with areas such as Theoretical computer science, Class, Graph theory, Special case and Information exchange as well as Consensus. Long Wang has included themes like Bounded function and Spanning tree in his Network topology study. His Mathematical optimization research is multidisciplinary, incorporating elements of Convergence, Evolutionary dynamics, Statistical physics, Constraint and Nonlinear system.
The scientist’s investigation covers issues in Control theory, Multi-agent system, Linear system, Microeconomics and Mathematical optimization. In most of his Control theory studies, his work intersects topics such as Stability. His research in Multi-agent system focuses on subjects like Network topology, which are connected to Protocol.
Long Wang frequently studies issues relating to Discrete time and continuous time and Linear system. His work on Microeconomics is being expanded to include thematically relevant topics such as Dilemma. Long Wang interconnects Observability and Reachability in the investigation of issues within Controllability.
His primary areas of investigation include Multi-agent system, Topology, Controllability, Microeconomics and Evolutionary dynamics. His research in Multi-agent system intersects with topics in Mathematical optimization, Event triggered, Distributed computing and Control theory. His Topology research incorporates elements of Linear system, Network topology, Nonlinear system, Almost surely and Observability.
His Controllability research includes themes of Control, Topology and Complex network. The study incorporates disciplines such as Upper and lower bounds, Energy and Control in addition to Complex network. His research integrates issues of Evolutionary biology, Selection and Stochastic game in his study of Evolutionary dynamics.
The scientist’s investigation covers issues in Multi-agent system, Topology, Controllability, Control theory and Network topology. The various areas that Long Wang examines in his Multi-agent system study include Theoretical computer science, Distributed computing and Topology. His work carried out in the field of Topology brings together such families of science as Structure and Protocol.
His Controllability research is multidisciplinary, incorporating perspectives in Evolving networks, Structure and Topology. His work deals with themes such as Passive dynamics and Bandwidth, which intersect with Control theory. His Network topology study incorporates themes from Perspective, Weak topology and Focus.
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.
Brief paper: Finite-time formation control for multi-agent systems
Feng Xiao;Long Wang;Jie Chen;Yanping Gao.
Finite-Time Consensus Problems for Networks of Dynamic Agents
Long Wang;Feng Xiao.
IEEE Transactions on Automatic Control (2010)
Asynchronous Consensus in Continuous-Time Multi-Agent Systems With Switching Topology and Time-Varying Delays
Feng Xiao;Long Wang.
IEEE Transactions on Automatic Control (2008)
Three-dimensional graphene foam as a biocompatible and conductive scaffold for neural stem cells
Ning Li;Qi Zhang;Song Gao;Qin Song.
Scientific Reports (2013)
Consensus control for a class of networks of dynamic agents
Guangming Xie;Long Wang.
International Journal of Robust and Nonlinear Control (2007)
Average consensus in networks of dynamic agents with switching topologies and multiple time-varying delays
Yuan Gong Sun;Yuan Gong Sun;Long Wang;Guangming Xie.
Systems & Control Letters (2008)
Recent Advances in Consensus of Multi-Agent Systems: A Brief Survey
Jiahu Qin;Qichao Ma;Yang Shi;Long Wang.
IEEE Transactions on Industrial Electronics (2017)
Win-Stay-Lose-Learn Promotes Cooperation in the Spatial Prisoner's Dilemma Game
Yongkui Liu;Xiaojie Chen;Lin Zhang;Long Wang.
PLOS ONE (2012)
Reputation-based partner choice promotes cooperation in social networks.
Feng Fu;Feng Fu;Christoph Hauert;Christoph Hauert;Martin A. Nowak;Long Wang.
Physical Review E (2008)
Group consensus in multi-agent systems with switching topologies and communication delays
Junyan Yu;Long Wang.
Systems & Control Letters (2010)
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