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为克服机器人控制过程中存在的许多不确定因素的影响，构造了一种新型模糊神经网络结构，提出了一种新算法，并将其应用于机器人控制，取得了满意的仿真效果，表明有极强的鲁棒性．
In order to overcome the influence of many uncertain factors in the process of robot control, a new type of fuzzy neural network structure is constructed and a new algorithm is proposed, which is applied to robot control and satisfactory simulation results are obtained. Strong robustness.