Applied parameter estimation for chemical engineers /

A presentation of important optimization methods used for parameter estimation. It focuses on the Gauss-Newton method for systems and processes represented by algebraic or differential equation models.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Englezos, Peter, 1958-
Otros Autores: Kalogerakis, Nicolas, 1954-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : M. Dekker, ©2001.
Colección:Chemical industries ; v. 81.
Temas:
Chemical engineering > Mathematical models.
Chemical engineering > Statistical methods.
Parameter estimation.
Gaussian processes.
Génie chimique > Modèles mathématiques.
Génie chimique > Méthodes statistiques.
Estimation d'un paramètre.
Processus gaussiens.
TECHNOLOGY & ENGINEERING > Chemical & Biochemical.
SCIENCE > Chemistry > Industrial & Technical.
Chemical engineering > Mathematical models
Chemical engineering > Statistical methods
Gaussian processes
Parameter estimation
Mathematische Methode
Verfahrenstechnik
Oliewinning.
Procestechnologie.
Parameters.
Dynamica.
Wiskundige modellen.
Lineaire regressie.
Differentiaalvergelijkingen.
FORTRAN.
Toestandsvergelijkingen.
Estimation de paramètres.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Preface; Contents; Introduction; Formulation of the Parameter Estimation Problem; Computation of Parameters in Linear Models
  • Linear Regression; Gauss-Newton Method for Algebraic Models; Other Nonlinear Regression Methods for Algebraic Models; Gauss-Newton Method for Ordinary Differential Equation (ODE) Models'; Shortcut Estimation Methods for Ordinary Differential Equation (ODE) Models; Practical Guidelines for Algorithm Implementation; Constrained Parameter Estimation; Gauss-Newton Method for Partial Differential Equation (PDE) Models; Statistical Inferences; Design of Experiments.

Ejemplares similares