NARX-based nonlinear system identification using orthogonal least squares basis hunting
An orthogonal least squares technique for basis hunting (OLS-BH) is proposed to construct sparse radial basis function (RBF) models for NARX-type nonlinear systems. Unlike most of the existing RBF or kernel modelling methods, which places the RBF or kernel centers at the training input data points a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2008-01-03.
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| Subjects: | |
| Online Access: | Get fulltext Get fulltext |