Embedded Direct Search of Optimal Designs for Finite Noise Experiments
Journal Title: Archives of Transport - Year 2010, Vol 22, Issue 1
Abstract
We study experimental designs for the identification of nonlinear model parameters. As optimality criterion we assume minimality of the error in a huge number of identifications run on simulated data, which are generated with known parameters and a given error distribution. The optimal design depends on the nonlinear parameters. We find the optimal solution set by combining a path following strategy and a direct search method.
Authors and Affiliations
Franziska Schulz, Kurt Frischmuth
Keywords
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- EP ID EP70199
- DOI 10.2478/v10174-010-0008-z
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