%0 Journal Article
	%A A. Brouri and  F. Giri and  A. Mkhida and  F. Z. Chaoui and  A. Elkarkri and  M. L. Chhibat 
	%D 2014
	%J International Journal of Mechanical and Mechatronics Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 89, 2014
	%T Identification of Nonlinear Systems Structured by Hammerstein-Wiener Model 
	%U https://publications.waset.org/pdf/9998178
	%V 89
	%X Standard Hammerstein-Wiener models consist of a linear subsystem sandwiched by two memoryless nonlinearities. The problem of identifying Hammerstein-Wiener systems is addressed in the presence of linear subsystem of structure totally unknown and polynomial input and output nonlinearities. Presently, the system nonlinearities are allowed to be noninvertible. The system identification problem is dealt by developing a two-stage frequency identification method. First, the parameters of system nonlinearities are identified. In the second stage, a frequency approach is designed to estimate the linear subsystem frequency gain. All involved estimators are proved to be consistent.

	%P 745 - 749