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...

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Veröffentlicht in:Chemical engineering science Jg. 53; H. 11; S. 2029 - 2040
1. Verfasser: Pinto, José Carlos
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Elsevier Ltd 01.06.1998
Elsevier
Schlagworte:
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
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Beschreibung
Zusammenfassung: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