Sampled-data leader-following consensus of second-order nonlinear multi-agent systems with disturbance and missing data

Abstract

In this paper, the leader-following consensus problem of second-order nonlinear multi-agent systems with disturbances and random missing input data is investigated. The stochastic variables with a Bernoulli distributed sequence are used to model missing input data. A novel protocol with missing data is proposed. Further more, the sufficient condition is obtained to ensure the leader-following consensus. Finally, a numerical example is provided to verify the effectiveness of the proposed protocol.