Use spreadsheets to estimate modeling parameters
Publication details: feb. 2008Description: 6 p. ; 45-50 In: Chemical Engineering Progress 104Summary: Transcripción del resumen del autor. Dynamic process modeling based on non-uniformly sampled data and multiple sampling runs, even for nonlinear systems, can be performed using spreadsheet implementations of the weighted-least-squares (WLSQ) and Runge-Kutta WLSQ methods.| Current library | Status | Barcode | |
|---|---|---|---|
| Biblioteca Alejandro Angel Bulgheroni | Not for loan | 200047534 |
Transcripción del resumen del autor. Dynamic process modeling based on non-uniformly sampled data and multiple sampling runs, even for nonlinear systems, can be performed using spreadsheet implementations of the weighted-least-squares (WLSQ) and Runge-Kutta WLSQ methods.
2
