Linear models for optimal test design
β Scribed by Hua-Hua Chang
- Publisher
- Springer
- Year
- 2007
- Tongue
- English
- Weight
- 62 KB
- Volume
- 72
- Category
- Article
- ISSN
- 0033-3123
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π SIMILAR VOLUMES
This paper presents D-optimal experimental designs for a variety of non-linear models which depend on an arbitrary number of covariates but assume a positive prior mean and a Fisher information matrix satisfying particular properties. It is argued that these optimal designs can be regarded as a ΓΏrst
## Abstract This paper considers an optimal test input design problem occurring in a controlβrelevant, iterative system identification scheme. The optimization is based on minimizing the expected __a posteriori__ closedβloop error based on the __a priori__ information given by the data already coll