Set-membership estimation (or parameter bounding) assumes that the error corrupting the data is described only by upper and lower bounds between which its realizations must lie. It aims at providing a description of the set of all parameter vectors that are consistent with the data, error bounds and
Approximation of the Feasible Parameter Set in worst-case identification of Hammerstein models
✍ Scribed by P. Falugi; L. Giarré; G. Zappa
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 240 KB
- Volume
- 41
- Category
- Article
- ISSN
- 0005-1098
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