[1]冯冬青,张希平..基于神经网络的自学习模糊控制[J].郑州大学学报(工学版),2003,24(04):6-10.[doi:10.3969/j.issn.1671-6833.2003.04.002]
　Feng Dongqing,Zhang Xiping.Self-learning fuzzy control based on neural network[J].Journal of Zhengzhou University (Engineering Science),2003,24(04):6-10.[doi:10.3969/j.issn.1671-6833.2003.04.002]
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基于神经网络的自学习模糊控制()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
24卷
期数:
2003年04期
页码:
6-10
栏目:
出版日期:
1900-01-01

文章信息/Info

Title:
Self-learning fuzzy control based on neural network
作者:
冯冬青; 张希平.
郑州大学电气工程学院,河南,郑州,450002, 郑州大学电气工程学院,河南,郑州,450002
Author(s):
Feng Dongqing; Zhang Xiping
关键词:
模糊控制;  神经网络;  自学习;  仿真
Keywords:
DOI:
10.3969/j.issn.1671-6833.2003.04.002
文献标志码:
A
摘要:
将神经网络与模糊控制相结合,提出了一种基于神经网络实现自学习模糊控制的方法,并给出了神经网络训练、控制器离线自学习、控制器在线自学习的相应算法.利用该方法,可以实现控制器的离线自学习和在线自学习,从而在控制对象发生变化时,通过控制器自学习改善系统的控制性能.仿真结果表明了该方法的有效性.
Abstract:
Combining neural network and fuzzy control, a method for realizing self-learning fuzzy control based on neural network is proposed, and corresponding algorithms for neural network training, controller offline self-learning, and controller online self-learning are given. Using this method, the offline self-learning and online self-learning of the controller can be realized, so as to improve the control performance of the system through the controller self-learning when the control object changes. The simulation results show the effectiveness of the proposed method.

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更新日期/Last Update: 1900-01-01