Article ID Journal Published Year Pages File Type
411943 Neurocomputing 2015 6 Pages PDF
Abstract

A novel consensus protocol is presented for linear multi-agent systems(MASs) in which all the agents have the same continuous-time linear dynamics with high dimension. A fast convergence speed can be obtained by using this protocol for the MASs where each agent gets its own state through the full-order observer. Every agent can also obtain the states of its neighbors׳ and its instantaneous neighbors׳ to reach consensus. Necessary and sufficient conditions of consensus for the MASs are proposed to improve the convergence speed. Finally, the corresponding convergence speeds of different protocols are showed by numerical simulation, and extended to directed topology.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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