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Optimum Experimental Design for Nonlinear Process Models
Author(s) -
Körkel Stefan
Publication year - 2011
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.201110349
Subject(s) - nonlinear system , reliability (semiconductor) , process (computing) , design of experiments , computer science , mathematical optimization , experimental data , mathematics , statistics , physics , thermodynamics , power (physics) , quantum mechanics , operating system
In order to validate nonlinear dynamic process models, parameters have to be estimated from experimental data. The method of nonlinear optimum experimental design can improve the statistical reliability of parameter estimates drastically. This article discusses the problem formulation, numerical solution approaches and application strategies for nonlinear experimental design optimization problems. (© 2011 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)