| Autor: |
Keesman, K. J., Stappers, Roel |
| Jazyk: |
angličtina |
| Rok vydání: |
2004 |
| Předmět: |
|
| ISSN: |
1569-3945 |
| Popis: |
In this paper a support vector machine (SVM) approach for characterizing the feasible parameter set (FPS) in non-linear set-membership estimation problems is presented. It iteratively solves a regression problem from which an approximation of the boundary of the FPS can be determined. To guarantee convergence to the boundary the procedure includes a no-derivative line search and for an appropriate coverage of points on the FPS boundary it is suggested to start with a sequential box pavement procedure. The SVM approach is illustrated on a simple sine and exponential model with two parameters and an agro-forestry simulation model. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
