摘要
给出一种结构简单、权值意义清晰的模糊神经网络的设计方法,该网络可在线从数据中自动提取控制规则,运算速度快,将其用干参数未知的被控对象进行模型参考自适应控制,仿真表明系统具有较强的鲁棒性和自适应能力,
This paper presents a design method of a FNN with the simple structure and clear weight-meaning, This network can auto-get control rules through dates on line, and it has fast calculate-speed, This network can be used in model reference adaptive control system to control the plant with unknown parameters, At last simulations show that this system has stronger robustness and adaptive ability,
出处
《燕山大学学报》
CAS
1998年第4期337-340,共4页
Journal of Yanshan University
关键词
神经网络
模糊控制
模型参考控制
neural network, fuzzy logic control,model reference adaptive control,
