Peter Englezos, Nicolas Kalogerakis, Englezos Englezos

Applied Parameter Estimation for Chemical Engineers

• Gebundenes Buch

Produktbeschreibung

"Determines adjustable parameters in mathematical models that describe steady state or dynamic systems, presenting the most important optimization methods used for parameter estimation. Focuses on the Gauss-Newton method and its modifications for systems and processes represented by algebraic or differential equation models."

Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 460
• Erscheinungstermin: 1. Januar 2001
• Englisch
• Abmessung: 235mm x 160mm x 27mm
• Gewicht: 712g
• ISBN-13: 9780824795610
• ISBN-10: 082479561X
• Artikelnr.: 22158255

Autorenporträt

Englezos, Peter; Kalogerakis, Nicolas

Inhaltsangabe

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 ODE models
practical guidelines for algorithm implementation
constrained parameter estimation
Gauss-Newton method for partial differential equation (PDE) models
statistical inferences
design of experiments
recursive parameter estimation
parameter estimation in nonlinear thermodynamic models - cubic equation of state
parameter estimation in nonlinear thermodynamic models - activity coefficients
parameter estimation in chemical reaction kinetic models
parameter estimation in biochemical engineering models
parameter estimation in petroleum engineering. Appendices: the Trebble-Bishnoi equation of state
derivation of the fugacity expression
listings of computer programs
contents of accompanying CD
computer program for example16.1.2
computer program for example 16.3.2.