Impulse response constrained LS-SVM modelling for MIMO Hammerstein system identification
| Autor: | Johan A. K. Suykens, Oscar Mauricio Agudelo, Ricardo Castro-Garcia |
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| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Engineering business.industry MIMO Structure (category theory) System identification 02 engineering and technology System of linear equations Class (biology) Computer Science Applications Support vector machine symbols.namesake 020901 industrial engineering & automation Additive white Gaussian noise Control and Systems Engineering Control theory 0202 electrical engineering electronic engineering information engineering symbols 020201 artificial intelligence & image processing business Impulse response |
| Zdroj: | International Journal of Control. 92:908-925 |
| ISSN: | 1366-5820 0020-7179 |
| DOI: | 10.1080/00207179.2017.1373862 |
| Popis: | In this paper, a new methodology for identifying multiple inputs multiple outputs Hammerstein systems is presented. The proposed method aims at incorporating the impulse response of the system into a least-squares support vector machine (LS-SVM) formulation and therefore the regularisation capabilities of LS-SVM are applied to the system as a whole. One of the main advantages of this method comes from the fact that it is flexible concerning the class of problems it can model and that no previous knowledge about the underlying non-linearities is required except for very mild assumptions. Also, it naturally adapts to handle different numbers of inputs/outputs and performs well in the presence of white Gaussian noise. Finally, the method incorporates information about the structure of the system but still the solution of the model follows from a linear system of equations. The performance of the proposed methodology is shown through three simulation examples and compared with other methods in the lit... |
| Databáze: | OpenAIRE |
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