Distributed Consensus of Multi-Agent Via Aperiodic Intermittent Sampled-Data Control

This paper is concerned with the consensus problem of first-order multi-agent systems with nonlinear dynamics. To avoid the controllers are difficult to keep working continuously and the traditional sampled-data control can only reduce the update frequency of the controller, an aperiodic intermittent sampled-data control strategy is proposed. Based on the theory of algebra graph and matrix analysis, the consensus conditions of network structure, sampling width and communication width are given. The effectiveness of the consensus theory is verified by numerical simulation, and the influence of sampling width and communication width on the consensus is analyzed.