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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gomez, J.C. Baeyens, E. |
| Copyright Year | 2000 |
| Description | Author affiliation: Dept. de Electron., Univ. Nacional de Rosario, Argentina (Gomez, J.C.) |
| Abstract | A non-iterative algorithm for the simultaneous identification of the linear and nonlinear parts of multivariable Hammerstein systems is presented. The proposed algorithm is numerically robust, since it is based only on least squares estimation and singular value decomposition. Under weak assumptions on the persistency of excitation of the inputs, the algorithm provides consistent estimates even in the presence of coloured noise. Key in the derivation of the results is the use of rational orthonormal bases for the representation of the linear part of the system. An additional advantage of this is the possibility of incorporating prior information about the system in a typically black-box identification scheme. |
| Starting Page | 2849 |
| Ending Page | 2854 |
| File Size | 542784 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780366387 |
| ISSN | 01912216 |
| DOI | 10.1109/CDC.2000.914241 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-12-12 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Iterative algorithms Signal processing algorithms Least squares approximation Singular value decomposition Noise robustness Colored noise Ear Biological system modeling White noise Nonlinear control systems |
| Content Type | Text |
| Resource Type | Article |
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