小波理论及在滤波、系统辨识与控制中的应用  

The Wavelet Theory and its Applications to Filtering,System Identification and Control

作　　者：徐丽娜[1] 

机构地区：[1]哈尔滨工业大学,黑龙江哈尔滨150001

出　　处：《自动化技术与应用》2007年第6期1-6,共6页Techniques of Automation and Applications

摘　　要：本文首先在阐述小波(分析)理论的基础上,介绍小波与(人工)神经网络相结合的小波神经网络。由于它们所具有的独特优点,使其在滤波、动态系统辨识与控制中的应用日益广泛,是本文阐述的第二个问题。再者,介绍三个有关的软件工具箱。This paper introduces the wavelet and the wavelet network. The wavelet analysis and the wavelet network are effective tools to deal with the non-linear signals. Because of their special advantages, they are widely used in the field of filtering, complex non-linear dynamic system identification and control system.The relevant software toolboxes are also discussed.

关 键 词：小波理论 小波神经网络 滤波 辨识 控制 面向控制的辨识 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]