Separable identification of continuous-time systems having multiple unknown time delays from sampled data
| Autor: | K. Ibn Taarit, Mekki Ksouri, Yamna Ghoul |
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| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Scheme (programming language) 0209 industrial biotechnology Time delays Estimation theory System identification 02 engineering and technology System dynamics Separable space 03 medical and health sciences Identification (information) 030104 developmental biology 020901 industrial engineering & automation Control theory Algorithm design computer computer.programming_language Mathematics |
| Zdroj: | 2016 4th International Conference on Control Engineering & Information Technology (CEIT). |
| Popis: | This paper treats the problem of continuous-time model identification with unknown time delays from sampled data. The proposed method estimates the plant and the time delays in a separable way. More precisely, the plant is estimated by the standard recursive Least Square algorithm while the time delays are explicitly estimated by the Gauss-Newton algorithm. This means clear separation between the system dynamics and time delays. Numerical simulations are given at last to illustrate the validity of the proposed scheme. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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