Nonlinear System Identification Using Radial Basis Function-based Signal-dependent Arx Model
نویسندگان
چکیده
A smooth nonlinear system identification method without resorting to on-line parameter estimation is presented. Based on the radial basis function, a signal-dependent ARX (RBF-ARX) model is established to describe the nonlinear system dynamics. Especially, a new structured nonlinear parameter optimization algorithm based on the Levenberg-Marquardt algorithm and the least squares method is proposed for estimating the parameters of the nonlinear model. Copyright © 2001 IFAC
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تاریخ انتشار 2002