Nonlinear adaptive predictive control based on orthogonal wavelet networks

被引：0
|
作者：
Xia, XH [1 ]
Huang, DX [1 ]
Jin, YH [1 ]
机构：
[1] Tsing Hua Univ, Dept Automat, Beijing 100084, Peoples R China
来源：
PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4 | 2002年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a nonlinear adaptive predictive control strategy using orthogonal wavelet network model is presented. Based on a set of orthogonal wavelet functions, wavelet neural network performs a nonlinear mapping from the network input space to the wavelons output space in hidden layer firstly. Its weight coefficients can be estimated by a linear least-square estimation algorithm. The excellent statistic properties of the weight parameters of wavelet network also can be obtained. A single input single output (SISO) nonlinear adaptive predictive control strategy is implemented in the simulation of a CSTR process.
引用
收藏
页码：305 / 311
页数：7
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