DocumentCode
79113
Title
Semi-Global Leader-Following Consensus of Linear Multi-Agent Systems With Input Saturation via Low Gain Feedback
Author
Housheng Su ; Chen, Michael Z. Q. ; Lam, James ; Zongli Lin
Author_Institution
Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume
60
Issue
7
fYear
2013
fDate
Jul-13
Firstpage
1881
Lastpage
1889
Abstract
This paper investigates the problem of leader-following consensus of a linear multi-agent system on a switching network. The input of each agent is subject to saturation. Low gain feedback based distributed consensus protocols are developed. It is established that, under the assumptions that each agent is asymptotically null controllable with bounded controls and that the network is connected or jointly connected, semi-global leader-following consensus of the multi-agent system can be achieved. Numerical examples are presented to illustrate this result.
Keywords
controllability; feedback; multi-robot systems; time-varying systems; asymptotically null controllability; bounded controls; input saturation; linear multiagent systems; low gain feedback based distributed consensus protocols; semiglobal leader-following consensus; switching network; Algorithm design and analysis; Educational institutions; Heuristic algorithms; Laplace equations; Lead; Multi-agent systems; Switches; Consensus; input saturation; leader-following; low gain feedback;
fLanguage
English
Journal_Title
Circuits and Systems I: Regular Papers, IEEE Transactions on
Publisher
ieee
ISSN
1549-8328
Type
jour
DOI
10.1109/TCSI.2012.2226490
Filename
6473848
Link To Document