Bounded error identification of Hammerstein systems through sparse polynomial optimization
نویسندگان
چکیده
منابع مشابه
Recursive Identification of Hammerstein Systems with Polynomial Function Approximation
Nonlinear system identification is considered, where the nonlinear static function was approximated by a number of polynomial functions. It is based on a piecewise-linear Hammerstein model, which is linear in the parameters. The identification procedure is divided into two steps. Firstly we adopt the extended stochastic gradient algorithm to identify some unknown parameters. Secondly using sing...
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A novel recursive algorithm for identification of Hammerstein structures is developed. The linear and nonlinear parameters are separated and estimated recursively in a parallel manner, but each updating algorithm employs the estimation produced by the other at the previous time instant. Hence, it is termed the Alternately Recursive Least Square (ARLS) algorithm.When compared with Recursive Leas...
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Special classes of nonlinear systems applied in engineering are nonlinear systems with both block-oriented Hammerstein and Wiener structures, respectively [1, 3, 4, 7, 8, 14]. There are a lot of papers devoted to the different aspects of the parametric identification of Hammerstein and Wiener systems and much less on that of the Hammerstein–Wiener (H-W) systems with so-called hard nonlinearitie...
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ژورنال
عنوان ژورنال: Automatica
سال: 2012
ISSN: 0005-1098
DOI: 10.1016/j.automatica.2012.06.078