Title
SVM based internal model control for nonlinear systems
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.
Year
DOI
Venue
2006
10.1007/11760023_135
Lecture Notes in Computer Science
Keywords
Field
DocType
design procedure,internal model control scheme,stable nonlinear system,internal model,control scheme,close-loop control,model mismatch,proposed design procedure,direct inverse model control,internal model control,support vector machine,control loop,kernel function,neural network,radial basis function,closed loop control,inverse modeling,input output,statistical analysis,modeling,kernel method,nonlinear system
Control theory,Nonlinear system,Radial basis function kernel,Control theory,Computer science,Support vector machine,Control system,Kernel method,Internal model,Kernel (statistics)
Conference
Volume
ISSN
ISBN
3972
0302-9743
3-540-34437-3
Citations 
PageRank 
References 
2
0.37
3
Authors
5
Name
Order
Citations
PageRank
Weimin Zhong17914.18
Daoying Pi2509.21
Youxian Sun32707196.15
Chi Xu431.48
Sizhen Chu531.48