Auxiliary model based recursive generalized least squares parameter estimation for Hammerstein OEAR systems
نویسندگان
چکیده
منابع مشابه
Auxiliary model-based least-squares identification methods for Hammerstein output-error systems
The difficulty in identification of a Hammerstein (a linear dynamical block following a memoryless nonlinear block) nonlinear output-error model is that the information vector in the identification model contains unknown variables—the noise-free (true) outputs of the system. In this paper, an auxiliary model-based least-squares identification algorithm is developed. The basic idea is to replace...
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ژورنال
عنوان ژورنال: Mathematical and Computer Modelling
سال: 2010
ISSN: 0895-7177
DOI: 10.1016/j.mcm.2010.03.002