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
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;
Journal_Title :
Circuits and Systems I: Regular Papers, IEEE Transactions on
DOI :
10.1109/TCSI.2012.2226490