Recursive Identification for Hammerstein and Wiener Systems with Piece-wise Linear Memoryless Block
نویسنده
چکیده
The paper deals with identification of Hammerstein and Wiener systems with nonlinearity being a discontinuous piece-wise linear function. Recursive estimation algorithms are given to estimate six unknown parameters contained in the nonlinearity and all coefficients of the linear subsystem. The estimates converge to the corresponding true values with probability one. Numerical examples are given to verify the theoretical assertions. Copyright c ©2005 IFAC.
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