Title :
Nonlinear adaptive predictive control based on orthogonal wavelet networks
Author :
Xia, Xiaohua ; Huang, Dexian ; Jin, Yihui
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
A nonlinear adaptive predictive control strategy using an orthogonal wavelet network model is presented. Based on a set of orthogonal wavelet functions, a wavelet neural network performs a nonlinear mapping from the network input space to the wavelons output space in the hidden layer first. Its weight coefficients can be estimated by a linear least-square estimation algorithm. The excellent statistical properties of the weight parameters of the 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.
Keywords :
adaptive control; chemical technology; intelligent control; least squares approximations; neurocontrollers; nonlinear control systems; nonlinear dynamical systems; predictive control; process control; recursive estimation; CSTR process; hidden layer; linear least-square estimation algorithm; network input space; nonlinear adaptive predictive control; nonlinear mapping; orthogonal wavelet functions; orthogonal wavelet networks; single input single output control strategy; weight coefficients; Adaptive control; Automation; Chemical industry; Feeds; Function approximation; Neural networks; Predictive control; Predictive models; Programmable control; Statistics;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1022118
