DocumentCode
1280923
Title
Improvement for Consensus Performance of Multi-Agent Systems Based on Weighted Average Prediction
Author
Fang, Huajing ; Wu, Zhihai ; Wei, Jia
Author_Institution
Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume
57
Issue
1
fYear
2012
Firstpage
249
Lastpage
254
Abstract
The weighted average prediction (WAP) is introduced into the existing consensus protocol to simultaneously improve the robustness to communication delay and the convergence speed of achieving the consensus. It is proved that for a supercritical-delay multi-agent system, introducing the WAP can improve not only the robustness against communication delay but also the convergence speed, provided that the length of the WAP is chosen properly. The implementation of the WAP-based consensus protocol is investigated and simulations are provided to demonstrate the effectiveness of the theoretical results.
Keywords
delays; multi-agent systems; WAP-based consensus protocol; communication delay; consensus performance; convergence speed; supercritical-delay multi-agent system; weighted average prediction; Convergence; Delay; Eigenvalues and eigenfunctions; Multiagent systems; Robustness; Wireless application protocol; Communication delay; consensus; convergence speed; multi-agent systems; robustness; weighted average prediction (WAP);
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.2011.2162892
Filename
5960777
Link To Document