DocumentCode :
619798
Title :
Necessary and sufficient conditions for solving leader-following problem of multi-agent systems with communication noises
Author :
Yunpeng Wang ; Long Cheng ; Zeng-Guang Hou ; Min Tan ; Huiyang Liu ; Min Wang
Author_Institution :
State Key Lab. of Manage. & Control for Complex Syst. (SKLMCCS), Inst. of Autom., Beijing, China
fYear :
2013
fDate :
25-27 May 2013
Firstpage :
778
Lastpage :
783
Abstract :
The leader-following problem of first-order integral multi-agent systems with communication noises is investigated in this paper. To attenuate the noise´s effect, a positive time-varying gain a(t) is employed in the protocol. It is proved that the proposed protocol can solve the mean square leader-following problem if the following conditions hold: 1) the communication topology graph has a spanning tree; 2) ∫0 a(t)dt = ∞; 3) limt→∞ a(t) = 0. The requirements on a(t) are different from most existing papers, where a(t) is required to satisfy that ∫0 a(t)dt = ∞ and ∫0 a2(t)dt <; ∞. It turns out that ∫0 a2(t)dt <; ∞ implies limt→∞ a(t) = 0, if a(t) is uniformly continuous. Therefore this paper relaxes the requirements on a(t) to some extent. In addition, under the mild condition (a(t) is uniformly continuous) these three conditions are necessary as well. Furthermore, if ∫0 a2(t)dt <; ∞, the employed protocol is proved to be able to solve the almost sure leader-following problem of first-order integral multi-agent system. Finally, a simulation example is provided to verify the effectiveness of the employed protocols.
Keywords :
integral equations; mobile robots; multi-agent systems; multi-robot systems; topology; trees (mathematics); communication noises; communication topology graph; first-order integral multiagent systems; mean square leader-following problem; noise effect; positive time-varying gain; spanning tree; Eigenvalues and eigenfunctions; Lead; Multi-agent systems; Noise; Noise measurement; Protocols; Topology; Communication noise; Consensus; Leader-following; Multi-agent system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
Type :
conf
DOI :
10.1109/CCDC.2013.6561027
Filename :
6561027
Link To Document :
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