Optimum Experimental Design for Nonlinear Process Models | Zendy

Körkel Stefan | Zendy

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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)

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