Zobrazeno 1 - 10
of 223
pro vyhledávání: '"Fang, Haitao"'
Publikováno v:
In Sensors and Actuators: B. Chemical 1 June 2024 408
We study how to jointly recover the community structure and estimate the interaction probabilities of gossip opinion dynamics. In this process, agents randomly interact pairwise, and there are stubborn agents never changing their states. Such a model
Externí odkaz:
http://arxiv.org/abs/2102.09683
Publikováno v:
In Energy Storage Materials 25 February 2024 66
Autor:
Wang, Lianfu, Ding, Ye, Xu, Ziqin, Li, Jingyi, Guan, Yanchao, Yang, Lijun, Gu, Haitao, Fang, Haitao
Publikováno v:
In Energy Storage Materials February 2024 65
We consider a community detection problem for gossip dynamics with stubborn agents in this paper. It is assumed that the communication probability matrix for agent pairs has a block structure. More specifically, we assume that the network can be divi
Externí odkaz:
http://arxiv.org/abs/2003.14028
This paper studies the problem of recursively estimating the weighted adjacency matrix of a network out of a temporal sequence of binary-valued observations. The observation sequence is generated from nonlinear networked dynamics in which agents exch
Externí odkaz:
http://arxiv.org/abs/1912.02245
We study distributed filtering for a class of uncertain systems over corrupted communication channels. We propose a distributed robust Kalman filter with stochastic gains, through which upper bounds of the conditional mean square estimation errors ar
Externí odkaz:
http://arxiv.org/abs/1907.00190
This paper studies the estimation of network weights for a class of systems with binary-valued observations. In these systems only quantized observations are available for the network estimation. Furthermore, system states are coupled with observatio
Externí odkaz:
http://arxiv.org/abs/1903.07350
Social sampling is a novel randomized message passing protocol inspired by social communication for opinion formation in social networks. In a typical social sampling algorithm, each agent holds a sample from the empirical distribution of social opin
Externí odkaz:
http://arxiv.org/abs/1901.06162
Publikováno v:
In Mechanical Systems and Signal Processing 15 February 2023 185