A new methodology for estimating parameters that are not structurally globally identifiable is presented. The set of all the models which have exactly the same input-output behavior is first generated. The influence of the measurement noise and structural error is then taken into account by assuming
Approximate estimation of non-identifiable parameters in a convolution
โ Scribed by B.K. Kale; G. Sebastian
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 253 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0167-7152
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