| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5004908 | ISA Transactions | 2013 | 9 Pages |
Abstract
⺠We proposes a new method for online identification of a nonlinear system modelled on Reproducing Kernel Hilbert Space (RKHS). ⺠The proposed SVD-KPCA method uses the SVD technique to update the principal components. ⺠The proposed algorithm has been tested to identify the Wiener-Hammerstein benchmark [16] and a chemical reactor [7].
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Ilyes Elaissi, Ines Jaffel, Okba Taouali, Hassani Messaoud,