fulltext.study @t Gmail

Hierarchical approach for parameter identification of multiparameter models

Paper ID Volume ID Publish Year Pages File Format Full-Text
4641 235 2008 6 PDF Available
Title
Hierarchical approach for parameter identification of multiparameter models
Abstract

The problem of parameters identification in multiparameter models of the complicated kinetics processes is analyzed. In this case the minimization of the least square function is very difficult because it is multiextremal. The problem solution needs to be obtained very well initial parameters values. A polynomial approximation of the experimental data permits to propose a hierarchical approach for obtaining initial parameters values in the global minimum area, using a consecutive approximations method. The method for parameter identification of multiparameter models is tested for modeling of fermentation systems. The model parameter values are obtained on the bases of real experimental data. The results obtained show a decrease of the model error variance on every next hierarchical level and a good agreement with the experimental data on the last level.

Keywords
Multiparameter model; Model parameter identification; Hierarchical approach; Fermentation systems
First Page Preview
Hierarchical approach for parameter identification of multiparameter models
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us
Publisher
Database: Elsevier - ScienceDirect
Journal: Biochemical Engineering Journal - Volume 39, Issue 2, 15 April 2008, Pages 397–402
Authors
, ,
Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us