离散高阶分布式一致性算法

为了提高分布式一致性算法的收敛速度, 提出了一种离散高阶分布式一致性算法。该算法通过单跳通信, 利用二跳邻接节点的前多步信息来加速分布式一致性算法的收敛速度。对无向通信拓扑下该算法的收敛性能和收敛速度, 以及带通信延时的该算法的收敛性能进行了分析和仿真比较, 结果显示, 该算法在满足条件下能收敛到初始状态的平均值, 与同样利用二跳邻接节点信息的算法相比, 具有通信量小, 收敛速度更快的特点, 但是能容忍的通信延时变小。

Discrete-time high-order distributed consensus algorithm

In order to improve the convergence rate of distributed consensus algorithms, this paper proposed a discrete-time high-order distributed consensus algorithm. The new high-order algorithm utilized the previous state values of two-hop adjacency nodes to accelerate the convergence rate based on single-hop communication. The convergence performance and convergence rate of the discrete-time high-order distributed consensus algorithm were analyzed under undirected networks, meanwhile, it analyzed the discrete-time high-order distributed consensus algorithm with communication time-delay. It provided the simulation results to verify these analytical results, the results show that an average consensus can be reached under a certain condition, the convergence rate of the high-order algorithm is superior to those consensus algorithms, but the time-delay is smaller than the other algorithms utilizing the information of two-hop adjacency nodes.