Gradient-based and least-squares-based iterative algorithms for Hammerstein systems using the hierarchical identification principle
This study derives a least-squares-based iterative algorithm and a gradient-based iterative algorithm for Hammerstein systems using the decomposition-based hierarchical identification principle. The simulation results confirm that the proposed two algorithms can give satisfactory identification accu...
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| Published in: | IET control theory & applications Vol. 7; no. 2; pp. 176 - 184 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Stevenage
The Institution of Engineering and Technology
01.01.2013
John Wiley & Sons, Inc |
| Subjects: | |
| ISSN: | 1751-8644, 1751-8652 |
| Online Access: | Get full text |
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| Summary: | This study derives a least-squares-based iterative algorithm and a gradient-based iterative algorithm for Hammerstein systems using the decomposition-based hierarchical identification principle. The simulation results confirm that the proposed two algorithms can give satisfactory identification accuracies and the least-squares-based iterative algorithm has faster convergence rates than the gradient-based iterative algorithm. |
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| Bibliography: | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-2 content type line 23 |
| ISSN: | 1751-8644 1751-8652 |
| DOI: | 10.1049/iet-cta.2012.0313 |