Mean-square composite-rotating consensus of second-order systems with communication noises

doi:10.1088/1674-1056/27/7/070504

Abstract We study the mean-square composite-rotating consensus problem of second-order multi-agent systems with communication noises, where all agents rotate around a common center and the center of rotation spins around a fixed point simultaneously. Firstly, a time-varying consensus gain is introduced to attenuate to the effect of communication noises. Secondly, sufficient conditions are obtained for achieving the mean-square composite-rotating consensus. Finally, simulations are provided to demonstrate the effectiveness of the proposed algorithm.

Keywords: multi-agent systems mean-square consensus composite-rotating communication noises

Received: 18 December 2017
Revised: 03 April 2018
Accepted manuscript online:

PACS:	05.65.+b	(Self-organized systems)
	02.10.Yn	(Matrix theory)
	87.10.-e	(General theory and mathematical aspects)

Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 61304155 and 11371049) and Beijing Municipal Government Foundation for Talents, China (Grant No. 2012D005003000005).

Corresponding Authors: Li-po Mo
E-mail: beihangmlp@126.com

Cite this article:

Li-po Mo(莫立坡), Shao-yan Guo(郭少岩), Yong-guang Yu(于永光) Mean-square composite-rotating consensus of second-order systems with communication noises 2018 Chin. Phys. B 27 070504

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Mean-square composite-rotating consensus of second-order systems with communication noises

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