A Unified Framework for Systematic Model Improvement

Niels Rode Kristensen, Henrik Madsen, Sten Bay Jørgensen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

A unified framework for improving the quality of continuous time models of dynamic systems based on experimental data is presented. The framework is based on an interplay between stochastic differential equation (SDE) modelling, statistical tests and multivariate nonparametric regression. This combination provides systematic methods for pinpointing and repairing model deficiencies by uncovering their structural origin. The potential of the proposed framework in terms of modelling complex dynamic phenomena such as reaction kinetics is illustrated with a case study involving a model of a fed-batch bioreactor, where it is illustrated how an incorrectly modelled biomass growth rate can be pinpointed and an estimate provided of the functional relation needed to properly describe it.
Original languageEnglish
Title of host publicationProcess Systems Engineering 2003 : 8th International Symposium on Process Systems Engineering
Volume15B
Publication date2003
Pages1292-1297
ISBN (Print)978-0-444-51404-2
DOIs
Publication statusPublished - 2003
Event8th International Symposium on Process Systems Engineering - Kunming, China
Duration: 22 Jun 200327 Jun 2003
Conference number: 8

Conference

Conference8th International Symposium on Process Systems Engineering
Number8
CountryChina
CityKunming
Period22/06/200327/06/2003
SeriesComputer Aided Chemical Engineering
Volume15
ISSN1570-7946

Fingerprint Dive into the research topics of 'A Unified Framework for Systematic Model Improvement'. Together they form a unique fingerprint.

Cite this