On the costs of parameter uncertainties. Effects of parameter uncertainties during optimization and design of experiments

Mathematical models are of widespread usage for simulating process behavior, designing new processes and equipment and, in a more general sense, decision making. However, as model parameters are uncertain, due to model inaccuracies and experimental errors, all model results are subject to uncertaint...

Full description

Saved in:
Bibliographic Details
Published in:Chemical engineering science Vol. 53; no. 11; pp. 2029 - 2040
Main Author: Pinto, José Carlos
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 01.06.1998
Elsevier
Subjects:
Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization
Applied sciences
Chemical engineering
cost
Exact sciences and technology
experimental design
optimization
Parameter estimation
uncertainty
experimental design
Parameter estimation
cost
uncertainty
optimization
Uncertain system
Sequential design
Experimental design
Theoretical study
Economic study
Cost analysis
Optimization
ISSN:0009-2509, 1873-4405
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Mathematical models are of widespread usage for simulating process behavior, designing new processes and equipment and, in a more general sense, decision making. However, as model parameters are uncertain, due to model inaccuracies and experimental errors, all model results are subject to uncertainties. It is shown here that an economical value may be assigned to parameter uncertainties, which can then be used for both process optimization and specially for taking decisions during sequential experimental designs.
ISSN:0009-2509
1873-4405
DOI:10.1016/S0009-2509(98)00025-6