This paper considers the problem of sequential estimation of the state of a nonlinear process from noisy measurement data. In a previous paper [1] the problem was concerned with measurements which are linear combinations of the state variables. In this paper a different approach to the problem is us
Nonlinear least squares for model screening
β Scribed by Reiji Mezaki; James R. Kittrell
- Publisher
- American Institute of Chemical Engineers
- Year
- 1968
- Tongue
- English
- Weight
- 374 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0001-1541
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