supported by the National Natural Sci-ence Foundation of China(No.52277108);Guangdong Provincial Department of Science and Technology(No.2022A0505020015).
The increasing use of renewable energy in the power system results in strong stochastic disturbances and degrades the control performance of the distributed power grids.In this paper,a novel multi-agent collaborative ...
supported by the National Natural Science Foundation of China under Grant No.61973329;National Key Technology R&D Program of China under Grant No.2021YFD2100605;Project of Beijing Municipal University Teacher Team Construction Support Plan under Grant No.BPHR20220104。
This paper studies the optimization problem of heterogeneous networks under a timevarying topology.Each agent only accesses to one local objective function,which is nonsmooth.An improved algorithm with noisy measureme...
supported by the National Natural Science Foundation of China(Grant No.62071151)。
Due to the advantages of high volume of transactions and low resource consumption,Directed Acyclic Graph(DAG)-based Distributed Ledger Technology(DLT)has been considered a possible next-generation alternative to block...
This work was supperted by Shanghai Sailing Program(Nos.20YF1453000 and 20YF1452800);the National Science Foundation of China(Nos.62003239,62003240,62003243,and 61903027);Shanghai Municipal Science and Technology Major Project(No.2021SHZDZX0100);Shanghai Municipal Commission of Science and Technology(No.19511132101).
The work gives a review on the distributed Nash equilibrium seeking of noncooperative games in multi-agent networks,which emerges as one of the frontier research topics in the area of systems and control community.Fir...
In this paper,a zero-sum game Nash equilibrium computation problem with a common constraint set is investigated under two time-varying multi-agent subnetworks,where the two subnetworks have opposite payoff function.A ...
supported by the Key Research and Development Project in Guangdong Province(2020B0101050001);the National Science Foundation of China(61973214,61590924,61963030);the Natural Science Foundation of Shanghai(19ZR1476200)。
In this paper,we consider distributed convex optimization problems on multi-agent networks.We develop and analyze the distributed gradient method which allows each agent to compute its dynamic stepsize by utilizing th...
This work has been supported by the ELLIIT Network Organization for Information and Communication Technology,Sweden(Project B09)and the Swedish Foundation for Strategic Research SSF(Smart Systems Project RIT15-0097);The first author is also supported by an RExperts Program Grant 2020A1313030098 from the Guangdong Department of Science and Technology,China in addition to a Sichuan Province International Science and Technology Innovation Cooperation Project Grant 2020YFH0160.
In the context of collaborative robotics,distributed situation awareness is essential for supporting collective intelligence in teams of robots and human agents where it can be used for both individual and collective ...
This research is supported by Natural Science Foundation of Hunan Province(No.2019JJ40145);Scientific Research Key Project of Hunan Education Department(No.19A273);open Fund of Key Laboratory of Hunan Province(2017TP1026).
Text mining has emerged as an effective method of handling and extracting useful information from the exponentially growing biomedical literature and biomedical databases.We developed a novel biomedical text mining mo...
Project supported by the National Natural Science Foundation of China(No.61773327);the Research Grants Council of the Hong Kong Special Administrative Region of China under Project CityU/11274916;Projects of Major International(Regional)Joint Research Program of the National Natural Science Foundation of China(No.61720106011)
In this study, we investigate the leader-following consensus problem of a class of heterogeneous secondorder nonlinear multi-agent systems subject to disturbances. In particular, the nonlinear systems contain uncertai...
supported by the National Key Research and Development Program of China under Grant No.2016YFB0901902;the National Natural Science Foundation of China under Grant Nos.61573344,61333001,61733018,and 61374168
This paper discusses a distributed design for clustering based on the K-means algorithm in a switching multi-agent network, for the case when data are decentralized stored and unavailable to all agents. The authors pr...