Multi-agent consensus based on the group combined information

Title: Multi-agent consensus based on the group combined information
Creator: Hou, Jian; Yan, Gangfeng; Lin, Zhiyun; Yu, Chiangbin
Relation: 2nd Australian Control Conference (AUCC 2012). Proceedings of the 2nd Australian Control Conference (AUCC 2012) (Sydney 15-16 November, 2012) p. 381-385
Relation: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6613226
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Resource Type: conference paper
Date: 2012
Description: This paper considers the multi-agent consensus problem for first-order discrete-time dynamic systems. Instead of utilizing the relative state information as a feedback, the state of every individual agent is updated based on the relative information between two groups, where the agents are randomly partitioned into two groups each time. In this paper, we consider the group information as the convex combination of all the states of the agents in each group. The convex combination with random coefficients and one case with equal probability for group partition are analyzed. In addition, the application of this new scheme to the distributed beamforming is given. Numerical simulations are also provided to demonstrate the validity of our theoretical results.
Subject: consensus; multi-agent systems; group information
Identifier: http://hdl.handle.net/1959.13/1307514
Identifier: uon:21448
Identifier: ISBN:9781922107633
Language: eng
Reviewed

		Thumbnail	File	Description	Size	Format