基于无向图的多智能体系统的仿真，最终可实现一致收敛的结果-The simulation of the multi-agent system based on undirected graph and it ll achieve consensus finally.

多智能体仿真，有一个领导者和四个跟随者，最终状态达成一致收敛(Multi agent simulation, with one leader and four followers, the final state reaches a consensus convergence)

本代码运用自适应动态规划理论，结合BP神经网络，设计实现多智能体系统的一致控制。其中的控制率是由HDP框架的BP神经网络基于智能体的实时状态数据自适应产生的。(leader-following consensus by adaptive dynamic programming)

该程序实现多个有界输入的智能体状态趋于一致；并绘制出多智能体状态图以及一致函数曲线(In this program, the state of multi-agent with bounded input tends to be consistent, and multi-agent state diagram and consistent function curve are drawn)