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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Vydáno v:Chemical engineering science Ročník 53; číslo 11; s. 2029 - 2040
Hlavní autor: Pinto, José Carlos
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Elsevier Ltd 01.06.1998
Elsevier
Témata:
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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Popis
Shrnutí: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