A SOFTWARE FOR PARAMETER ESTIMATION IN DYNAMIC MODELS
Küçük Resim Yok
Tarih
2008
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Brazilian Soc Chemical Eng
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
A common problem in dynamic systems is to determine parameters in an equation used to represent experimental data. The goal is to determine the values of model parameters that provide the best fit to measured data, generally based on some type of least squares or maximum likelihood criterion. In the most general case, this requires the solution of a nonlinear and frequently non-convex optimization problem. Some of the available software lack in generality, while others do not provide ease of use. A user-interactive parameter estimation software was needed for identifying kinetic parameters. In this work we developed an integration based optimization approach to provide a solution to such problems. For easy implementation of the technique, a parameter estimation software (PARES) has been developed in MATLAB environment. When tested with extensive example problems from literature, the suggested approach is proven to provide good agreement between predicted and observed data within relatively less computing time and iterations.
Açıklama
Anahtar Kelimeler
Parameter estimation, Dynamic simulation
Kaynak
Brazilian Journal of Chemical Engineering
WoS Q Değeri
Q3
Scopus Q Değeri
Q3
Cilt
25
Sayı
4
