System identification consists of estimating its parameter values and Its discrete model order, the latter being obtained using the direct least.squares-method and the maximum-likelihood-method under different working conditions. Seminary--The accuracy of the models estimated with the direct least-
β¦ LIBER β¦
An instrumental product moment test for model order estimation
β Scribed by P.E. Wellstead
- Publisher
- Elsevier Science
- Year
- 1978
- Tongue
- English
- Weight
- 250 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0005-1098
No coin nor oath required. For personal study only.
β¦ Synopsis
The near singularity of the product moment lnatrix of observed input/output data provides a quick way of checking the order of a linear system. However, the technique becomes insensitive when significant amounts of extraneous noise are present, and while this difficulty can be alleviated it is only by additional computation and explicit use of a priori system knowledge. This short paper describes an instrumental variable modification to the product moment technique which overcomes these problems with a negligible amount of extra computation.
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