Minimum Data Rate for Consensus of Linear MASs Under Weighted-Average Protocols
研究了离散时间线性多智能体系统在加权平均协议下达成共识所需的最小数据率，发现该数据率是系统固有属性，与编码解码方案、控制器增益和通信拓扑无关，并提出了达到该最小数据率的编码解码方案。
This article investigates the minimum data rate for achieving consensus of discrete-time linear multiagent systems under weighted-average protocols. The agents transmit information to each other over a network under data rate constraints. The minimum data rate required to enable the multiagent system to achieve consensus is obtained. It is shown that the minimum data rate is an intrinsic property of the multiagent system, which is independent of encoding-decoding schemes, controller gains, and communication topologies (as long as they are connected) chosen. Accordingly, an encoding-decoding scheme is proposed which achieves the minimum data rate. Then, it is proved that the multiagent system can achieve consensus based on the proposed scheme. Further, the minimum data rate for achieving asymptotic consensus with a given asymptotic convergence rate is derived. Finally, the effectiveness of the proposed scheme is verified by simulation examples.