论文部分内容阅读
本文首先讨论了机器人动力学的特殊性，提出了一种基于神经网络的模糊控制方法，该方法借助于一类新型的神经网络结构，实现了模糊规则的自动更新和隶属函数的自调整。该算法被用于机器人动态控制，取得了满意的仿真结果。
This paper first discusses the particularity of robot dynamics and proposes a fuzzy control method based on neural network. This method takes advantage of a new type of neural network structure to realize the automatic updating of fuzzy rules and the self-adjusting of membership functions. The algorithm is applied to the dynamic control of the robot and the satisfactory simulation result is obtained.