摘要
本文针对复杂工业过程控制系统的特点 ,提出一种模糊神经网络自适应控制系统 ,该系统由两个模糊神经网络组成 ,一个完成Fuzzy学习控制 ,另一个完成未知被控对象模型的建模。仿真和复杂工业回转窑炉温控实验结果表明 。
This paper proposed a new adaptive control system using fuzzy neural networks for complex industrial processes.This control system consists of a fuzzy neural networks controller and model fuzzy network.The results of simulation as well as temperature control for industrial rotary kiln furnace were performed to demonstrate the feasibility and affectiveness of the proposed control.
出处
《电子测量与仪器学报》
CSCD
2000年第2期46-51,共6页
Journal of Electronic Measurement and Instrumentation
基金
国家 8 6 3计划项目资助课题
关键词
复杂系统
模糊神经网络
智能控制
自适应控制
Complex system
Fuzzy neural networks
Learning algorithm
Intelligent control
