摘要
综述了系统辨识问题的研究进展,介绍了经典的系统辨识方法及其缺点,引出了将集员、多层递阶、神经网络、遗传算法、模糊逻辑、小波网络等知识应用于系统辨识得到的一些现代系统辨识方法,最后总结了系统辨识今后的发展方向。
In this paper the advance in the study of system identification is summarized. First, the traditional system identification methods and their disadvantages are introduced. Then, some new methods based on set membership, multi - level recursive,neural network,genetic algorithms, fuzzy logic and wavelet network are presented. Finally, further research directions of system identification are pointed out.
出处
《现代电子技术》
2007年第15期112-116,共5页
Modern Electronics Technique
基金
教育部博士学科基金(20060700007)
陕西省自然科学基金(2005F15)资助项目
关键词
系统辨识
集员
多层递阶
神经网络
遗传算法
模糊逻辑
小波网络
System identification
set membership
multi - level recursive
neural network
genetic algorithms
fuzzy logic wavelet network
