An approach to quantized consensus of continuous-time linear multi-agent systems

This paper investigates the consensus problem of continuous-time linear multi-agent systems (MASs), under the communication constraint of limited bandwidth. By constructing a novel dynamic quantizer, a distributed protocol via sampled and quantized data is designed to solve this problem. It is shown that the required number of the quantization levels of the new quantizer remains to be small even if the number of the agents in the MAS is large. A simulation example is given to illustrate the effectiveness of the proposed consensus protocol.