Distributed consensus of second-order multi-agent systems with uniquely sampled position data

摘要: Second-order consensus in multi-agent systems is discussed based on uniquely sampled position data. A distributed linear protocol, where only out-dated and current data are utilized, designed for each agent. It revealed that second-order such a system cannot be reached without any the proposed protocol. However, can achieved by appropriately choosing sampling period coupling gains. To this aim, necessary sufficient condition with respect to gains, period, spectra of Laplician matrix, established achieving consensus. Finally, effectiveness theoretical results illustrated through numerical simulations.