DocumentCode
2437198
Title
Adaptive control of a class of nonlinear systems using Support Vector Regression
Author
George, Koshy ; Harshangi, Prashanth
Author_Institution
E.E.S. Centre for Intell. Syst., Bangalore, India
fYear
2010
fDate
7-10 Dec. 2010
Firstpage
311
Lastpage
316
Abstract
In this paper we demonstrate an improvement in the transient tracking performance when a Support Vector Regression (SVR) is used to identify a nonlinear ARMA plant. We use an on-line version of SVR, and at each instant, the identified model is used to determine the appropriate control law. A further improvement in the transient performance is shown with the methodology of multiple models, switching, and tuning.
Keywords
adaptive control; control system synthesis; nonlinear control systems; regression analysis; support vector machines; adaptive control; nonlinear ARMA plant; nonlinear systems; support vector regression; transient tracking performance; Adaptation model; Adaptive control; Artificial neural networks; Nonlinear systems; Support vector machines; Training; Transient analysis; Adaptive systems; NARMA; multiple models; support vector regression; switching and tuning;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-7814-9
Type
conf
DOI
10.1109/ICARCV.2010.5707793
Filename
5707793
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