Identification of Continuous-Time Wiener-Type Nonlinear Model via a Subspace Method
Izumi MASUBUCHI, Kazuhiro MURAI
This paper is concerned with identification of continuous-time Wiener-type nonlinear model. A subspace method is applied to identify the linear dynamic element represented by δ-operator model transformed through Laguerre filters. The nonlinear part is estimated via least-squares approximation. Numerical simulation results are provided to illustrate the proposed identification method.