Name
Abstract | ||
|---|---|---|
Abstract In this paper, the fractional closed-loop system identification problem is addressed. Using the indirect approach, which supposes the knowledge of the controller, both coefficients and fractional orders of the process are estimated. The optimal instrumental variable method combined with a nonlinear optimization algorithm is handled to identify the fractional closed-loop transfer function. Also, two techniques are used for model selection the Akaike’s information criterion and the \(R_T^2\) criterion. The performances of the proposed scheme are illustrated by a numerical example via Monte Carlo simulation and by real electronic system identification. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/s00034-015-0046-0 | CSSP |
Keywords | Field | DocType |
Closed-loop,Fractional model,Identification,Instrumental variable,Least squares | Control theory,Monte Carlo method,Mathematical optimization,Akaike information criterion,Control theory,Nonlinear programming,Model selection,Transfer function,System identification,Mathematics,Fractional programming | Journal |
Volume | Issue | ISSN |
34 | 12 | 1531-5878 |
Citations | PageRank | References |
3 | 0.51 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zeineb Yakoub | 1 | 3 | 0.51 |
| M. Amairi | 2 | 30 | 8.74 |
| Manel Chetoui | 3 | 8 | 3.49 |
| Mohamed Aoun | 4 | 70 | 19.48 |