Distributed robust adaptive consensus control for uncertain nonlinear fractional-order multi-agent systems

By applying the fractional Lyapunov direct method, we consider the robust adaptive consensus problem of nonlinear multi-agent systems (MASs) subject to uncertain fractional-order dynamics. Under some mild assumptions, a distributed robust adaptive algorithm is presented to guarantee the consensus error exponentially converges to zero. It is worth noting that the proposed gain adaptation scheme depends only on local information and thus is fully distributed. Finally, a simulation is provided to validate our obtained results.