基于采样时间的二阶多智能体系统的量化一致性

Quantized Consensus of Second-order Multi-agent Systems Via Sampled Data

为了解决在有向连接拓扑下基于采样数据的多智能体系统的量化一致性问题,运用矩阵理论,得到了概率量化器下连续时间的二阶多智能体系统关于采样数据和设计参数之间的量化一致性的充要条件,同时给出了当参数满足一致性条件且量化区间的长度区域为0时系统最终收敛的一致性值,最后通过数值仿真说明了所得结论的有效性.

This paper addresses the quantized consensus problem of second-order multi-agent systems based on sampled data under the directed topologies. A necessary and sufficient condition for quantized consensus on the sampling period and the protocol parameter is obtained with the probability of quantizer by using the matrix theory. Furthermore, the final consensus value is given when the parameters satisfy the proposed consensus condition and the length of quantized interval trends toward zero. At last, the simulation results are given to show the effectiveness of the proposed conclusion.