摘要
采用一种具有结构和参数学习能力的自组织模糊神经网络控制器设计方法。这种控制器无需事先确定模糊控制规则，能在控制过程中通过神经网络的结构及参数学习在线调整模糊神经网络的结构、产生模糊控制规则、调整规则的参数。仿真表明该控制器能用于一定纯滞后时变对象的控制，具有良好的控制性能。
A kind of method is applied to desigh a self-organizing fuzzy neural networks controller with structure and parameter learning . This controller doesn′t need to select fuzzy logic rule in advance, it can adjust its structure and produce fuzzy logic rule by structure and parameter learning. The simulation example shows that it can be applied to the plant with time varying and low time delay, and that it have good property.
出处
《控制与决策》
EI
CSCD
北大核心
1998年第6期694-696,共3页
Control and Decision
关键词
模糊神经网络
模糊控制器
自组织控制器
fuzzy neural networks, fuzzy controller, self-organgizing controller
