[1]达飞鹏,宋文忠.基于模糊神经网络的大时滞系统的预测控制[J].东南大学学报(自然科学版),2000,30(2):67-70.[doi:10.3969/j.issn.1001-0505.2000.02.014]
 Da Feipeng,Song Wenzhong.Fuzzy Prediction Control for Long Delay Time Systems Based on Fuzzy Neural Networks[J].Journal of Southeast University (Natural Science Edition),2000,30(2):67-70.[doi:10.3969/j.issn.1001-0505.2000.02.014]
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基于模糊神经网络的大时滞系统的预测控制()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
30
期数:
2000年第2期
页码:
67-70
栏目:
自动化
出版日期:
2000-03-19

文章信息/Info

Title:
Fuzzy Prediction Control for Long Delay Time Systems Based on Fuzzy Neural Networks
作者:
达飞鹏 宋文忠
东南大学自动化研究所, 南京 210096
Author(s):
Da Feipeng Song Wenzhong
Research Institute of Automation, Southeast University, Nanjing 210096
关键词:
模糊神经网络 时滞 预测控制
Keywords:
fuzzy neural networks delay time prediction control
分类号:
TP273.2
DOI:
10.3969/j.issn.1001-0505.2000.02.014
摘要:
工业生产过程中常有大时滞存在,用传统控制方法不能获得满意的控制效果.为解决这个问题,本文提出了基于模糊预测的模糊神经网络( Fuzzy Neural Networks)控制器,根据过程的动态变化实施控制器的在线调整,仿真和实践都表明了该控制方案的优越性.
Abstract:
There always exist long delay time in process control and good control effects may not be obtained by using traditional control methods. Fuzzy Neural Networks (FNN) controller based on fuzzy prediction is presented to solve this problem, which can be tuned itself on line according to the changing of the process states. Simulation and practical implement demonstrate the advantages of the control scheme.

参考文献/References:

[1] Aoki S,Kuwachi S,Sugeno M.Application of fuzzy control logic for dead-time process in a glass melting furnace.Fuzzy Sets and System,1990,38(1):251~265
[2] 达飞鹏,徐嗣鑫.基于模糊神经网络的系统辨识.控制与决策,1997,12(4):377~380
[3] Li J,Jron J.A new learning controller based on the P-integrator concept.Fuzzy Sets and System,1992,48(3):297~303
[4] 李友善,李军.模糊控制在过程控制中的应用.北京:国防工业出版社,1994

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备注/Memo

备注/Memo:
第一作者:男,1968年生,博士.
Da Feipeng, Din Weiming, Xu Sixin, et al. Intelligent control strategies for long delay time in paper_making process. IEEE ICIPS’97, Beijing
更新日期/Last Update: 2000-03-20