Zobrazeno 1 - 10
of 3 383
pro vyhledávání: '"CHEN, GUANRONG"'
This paper investigates data-driven cooperative output regulation for continuous-time multi-agent systems with unknown network topology. Unlike existing studies that typically assume a known network topology to directly compute controller parameters,
Externí odkaz:
http://arxiv.org/abs/2409.12824
Autor:
Lin, Jiayu, Chen, Guanrong, Jin, Bojun, Li, Chenyang, Jia, Shutong, Lin, Wancong, Sun, Yang, He, Yuhang, Yang, Caihua, Bao, Jianzhu, Wu, Jipeng, Su, Wen, Chen, Jinglu, Li, Xinyi, Chen, Tianyu, Han, Mingjie, Du, Shuaiwen, Wang, Zijian, Li, Jiyin, Suo, Fuzhong, Wang, Hao, Lin, Nuanchen, Huang, Xuanjing, Jiang, Changjian, Xu, RuiFeng, Zhang, Long, Cao, Jiuxin, Jin, Ting, Wei, Zhongyu
In this paper we present the results of the AI-Debater 2023 Challenge held by the Chinese Conference on Affect Computing (CCAC 2023), and introduce the related datasets. We organize two tracks to handle the argumentative generation tasks in different
Externí odkaz:
http://arxiv.org/abs/2407.14829
This paper addresses the problem of distributed online generalized Nash equilibrium (GNE) learning for multi-cluster games with delayed feedback information. Specifically, each agent in the game is assumed to be informed a sequence of local cost func
Externí odkaz:
http://arxiv.org/abs/2407.03578
Autor:
Danca, Marius-F., Chen, Guanrong
In this paper, the Parameter Switching (PS) algorithm is used to approximate numerically attractors of a Hopfield Neural Network (HNN) system. The PS algorithm is a convergent scheme designed for approximating attractors of an autonomous nonlinear sy
Externí odkaz:
http://arxiv.org/abs/2405.07567
Uncovering higher-order spatiotemporal dependencies within human mobility networks offers valuable insights into the analysis of urban structures. In most existing studies, human mobility networks are typically constructed by aggregating all trips wi
Externí odkaz:
http://arxiv.org/abs/2405.04066
Blockchain technology is a breakthrough in changing the ways of business and organization operations, in which the consensus problem is challenging with practical constraints, such as computational power and consensus standard. In this paper, a novel
Externí odkaz:
http://arxiv.org/abs/2309.09529
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 2023, 70 (10), 4067-4079
This paper addresses the robustness of a network to sustain its connectivity and controllability against malicious attacks. This kind of network robustness is typically measured by the time-consuming attack simulation, which returns a sequence of val
Externí odkaz:
http://arxiv.org/abs/2305.07872
In the semi-supervised setting where labeled data are largely limited, it remains to be a big challenge for message passing based graph neural networks (GNNs) to learn feature representations for the nodes with the same class label that is distribute
Externí odkaz:
http://arxiv.org/abs/2303.01265
Topological data analysis can extract effective information from higher-dimensional data. Its mathematical basis is persistent homology. The persistent homology can calculate topological features at different spatiotemporal scales of the dataset; tha
Externí odkaz:
http://arxiv.org/abs/2302.09940