| Autor: |
Yazid Edwar, Liew M.S., Parman Setyamartana, Kurian V.J., Ng C.Y. |
| Jazyk: |
English<br />French |
| Rok vydání: |
2014 |
| Předmět: |
|
| Zdroj: |
MATEC Web of Conferences, Vol 13, p 02031 (2014) |
| Druh dokumentu: |
article |
| ISSN: |
2261-236X |
| DOI: |
10.1051/matecconf/20141302031 |
| Popis: |
This paper proposes basis functions based time domain Volterra model for nonlinear system identification. The Volterra kernels are expanded by using complex exponential basis functions and estimated via genetic algorithm (GA). The accuracy and practicability of the proposed method are then assessed experimentally from a scaled 1:100 model of a prototype truss spar platform. Identification results in time and frequency domain are presented and coherent functions are performed to check the quality of the identification results. It is shown that results between experimental data and proposed method are in good agreement. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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