Title :
Group consensus in multi-agent systems with sampled data
Author :
Junyan Yu ; Mei Yu ; Jiangping Hu ; Bo Liu
Author_Institution :
Sch. of Math. Sci., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
This paper investigates a group consensus problem of multi-agent systems with sampled data. A distributed linear consensus protocol is first designed to solve the group consensus problem, and then the dynamics of all the agents are presented with a linear estimation-based sampling period. By analyzing convergence properties of the dynamics, some necessary and sufficient conditions based on the sampling period are established for the agents reaching the group consensus. Finally, a simulation result is presented to demonstrate the effectiveness of the theoretical results.
Keywords :
multi-robot systems; robot dynamics; sampled data systems; sampling methods; agents dynamics; convergence properties; distributed linear consensus protocol; group consensus problem; linear estimation-based sampling period; multiagent systems; sampled data; Educational institutions; Eigenvalues and eigenfunctions; Multi-agent systems; Network topology; Protocols; Simulation; Topology; Consensus; Sampled Data; multi-agent systems;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an