Loading [MathJax]/extensions/TeX/mhchem.js
Identification of ARX Hammerstein Models based on Twin Support Vector Machine Regression | IEEE Conference Publication | IEEE Xplore

Identification of ARX Hammerstein Models based on Twin Support Vector Machine Regression


Abstract:

In this paper we develop a new algorithm to identify Auto-Regressive Exogenous (ARX) input Hammerstein Models based on Twin Support Vector Machine Regression (TSVR). The ...Show More

Abstract:

In this paper we develop a new algorithm to identify Auto-Regressive Exogenous (ARX) input Hammerstein Models based on Twin Support Vector Machine Regression (TSVR). The model is determined by minimizing two ε-insensitive loss functions. One of them determines the ε1-insensitive down bound regressor while the other determines the ε1-insensitive up bound regressor. The algorithm is compared to Support Vector Machine (SVM) and Least Square Support Vector Machine (LSSVM) based algorithms using simulation.
Date of Conference: 21-24 March 2016
Date Added to IEEE Xplore: 19 May 2016
ISBN Information:
Conference Location: Leipzig, Germany

Contact IEEE to Subscribe

References

References is not available for this document.