Abstract
This talk introduces some recent results regarding the stochastic consensus of double-integrator multi-agent systems in noisy environments. Depending on whether the multi-agent system has a leader or not, the mean square consensus algorithm has been proposed and the corresponding necessary and sufficient conditions for ensuring the mean square consensus have been presented as well. Meanwhile, the results regarding the double-integrator multi-agent systems have been extended to the general linear multi-agent system. Finally, the rate of reaching consensus has been analyzed under some mild conditions.
