中文摘要：

对优化的小世界网络模型与多智能体系统的一致性进行研究．以同步最优网络模型为例，建立了时延鲁棒性最优小世界网络．应用计算机仿真，分析了合作网络的一致性收敛速度．研究结果表明，新的优化网络可以提高网络的收敛速度和时延鲁棒性．

英文摘要：

The optimization models of small world network and consistency of multi-agent system were studied. In the case of synchronization optimal network model, a delay robustness optimal small-world network was built. By applying computer simulation, the convergence rates of consistency for multi-agent systems were analyzed. It is shown that the new small-world models can improve the convergence rates and the delay robustness of the network.