An algorithm for the identification of nonlinear systems which can be described by a Wiener
model consisting of a linear system followed by a single-valued nonlinearity is presented …

An algorithm is presented for the identification of nonlinear systems which can be described
by a model consisting of a linear system in cascade with a nonlinear element followed by …

An algorithm for the identification of non-linear systems which can be described by a
Hammerstein model consisting of a single-valued non-linearity followed by a linear system …

A Wiener system, ie a cascade system consisting of a linear dynamic subsystem and a
nonlinear memoryless subsystem is identified. The a priori information is nonparametric, ie …

This paper provides an overview of nonlinear system identification methodologies. The
theory and application of nonlinear system identification is vast, and this overview is not …

A Wiener system, ie, a system consisting of a linear dynamic subsystem followed by a
memoryless nonlinear one is identified. The system is driven by a stationary white Gaussian …

This paper describes a benchmark for nonlinear system identification. A Wiener-
Hammerstein system is selected as test object. In such a structure there is no direct access …

This monograph systematically presents the existing identification methods of nonlinear
systems using the block-oriented approach It surveys various known approaches to the …

A Wiener system, ie, a system in which a linear dynamic part is followed by a nonlinear and
memoryless one, is identified. No parametric restriction is imposed on the functional form of …

Within the class of nonlinear system models, the so-called block-oriented models have
gained wide recognition and attention by the system identification and automatic control …