基于SVDKPCA方法的可再生核Hilbert空间非线性系统在线辨识

2011 International Conference on Communications, Computing and Control Applications (CCCA) Pub Date : 2011-03-03 DOI:10.1109/CCCA.2011.6031191

O. Taouali, I. Elaissi, H. Messaoud

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引用次数: 0

摘要

提出了一种基于再现核希尔伯特空间(RKHS)的非线性系统在线辨识的新方法。提出的SVD- kpca方法利用SVD技术更新主成分。然后，我们使用简化核主成分分析(RKPCA)来接近主成分，这些主成分代表了KPCA方法所选择的观测值。

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Online identification of nonlinear system in the Reproducing Kernel Hilbert Space using SVDKPCA method

This paper proposes a new method for online identification of a nonlinear system modelled on Reproducing Kernel Hilbert Space (RKHS). The proposed SVD-KPCA method uses the SVD technique to update the principal components. Then we use the Reduced Kernel Principal Component Analysis (RKPCA) to approach the principal components which represent the observations selected by the KPCA method.

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2011 International Conference on Communications, Computing and Control Applications (CCCA)

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