Most parameter estimation techniques implicitly assume that it is possible to determine the parameters of the system uniquely if there were no noise in the output. In practice, this is not always the case. Whether or not this assumption is true for a given input-output experiment is the problem of s
β¦ LIBER β¦
A program for identification of linear systems
β Scribed by June Buell; Robert Kalaba; Andrew Yakush; Enrique H. Ruspini
- Publisher
- Elsevier Science
- Year
- 1971
- Weight
- 404 KB
- Volume
- 2
- Category
- Article
- ISSN
- 0010-468X
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A dedicated nonlinear regression program for the identification of steady-state processes is described in detail. Experimental data are fitted to the rational function which describes such systems. The algorithm makes use of parameter separation to relieve the user from the need to assign initial es