Rasool Sadeghi - Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
M Hashemi - Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran

In this article, a new block- oriented nonlinear identification method is proposed. This modeling method uses the Wiener model comprised of a linear dynamic block that is followed by a nonlinear static block. The linear block is described by the subspace identification algorithm whereas the nonlinear one is represented via the Least Squares- Support Vector Machine. The proposed method is tested with a practical nonlinear chemical plant named as CSTR. A dataset of the input-output signals gathered from the system is applied to show the superiority of the method.

Block-oriented identification, Wiener model, Subspace identification, Least Squares-Support Vector Machine, CSTR system