Back to Search Start Over

SVM Based Internal Model Control for Nonlinear Systems.

Authors :
Wang, Jun
Yi, Zhang
Zurada, Jacek M.
Lu, Bao-Liang
Yin, Hujun
Zhong, Weimin
Pi, Daoying
Sun, Youxian
Xu, Chi
Chu, Sizhen
Source :
Advances in Neural Networks - ISNN 2006 (9783540344377); 2006, p916-921, 6p
Publication Year :
2006

Abstract

In this paper, a design procedure of support vector machine (SVM) with RBF kernel function based internal model control (IMC) strategy for stable nonlinear systems with input-output form is proposed. The control scheme consists of two controllers: a SVM based controller which fulfils the direct inverse model control and a traditional controller which fulfils the close-loop control. And so the scheme can deal with the errors between the process and the SVM based internal model generated by model mismatch and additional disturbance. Simulations are given to illustrate the proposed design procedure and the properties of the SVM based internal model control scheme for unknown nonlinear systems with time delay. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540344377
Database :
Supplemental Index
Journal :
Advances in Neural Networks - ISNN 2006 (9783540344377)
Publication Type :
Book
Accession number :
32862298
Full Text :
https://doi.org/10.1007/11760023_135