This paper investigates the identification problem of an output‐error nonlinear system with
saturation and dead‐zone nonlinearity. Introducing a switching function and by means of the …

This paper considers the identification problems of the Hammerstein nonlinear systems. A
projection and a stochastic gradient (SG) identification algorithms are presented for the …

This paper proposes parameter estimation algorithms for Hammerstein nonlinear ARX
systems. By making full use of the current and previous input–output data of the system, a …

The widespread use of dynamic systems has greatly simplified various human-operated
tasks. However, the complex and nonlinear nature of these systems has posed challenges …

This study derives a least‐squares‐based iterative algorithm and a gradient‐based iterative
algorithm for Hammerstein systems using the decomposition‐based hierarchical …

This paper decomposes a Hammerstein nonlinear system into two subsystems, one
containing the parameters of the linear dynamical block and the other containing the …

This paper develops a decomposition based least squares iterative identification algorithm
for multivariate pseudo-linear autoregressive moving average systems using the data …

This study considers the parameter identification problem of a pseudo‐linear autoregressive
moving average system (ie linear‐in‐parameter autoregressive output‐error ARMA …

This paper derives a least squares-based and a gradient-based iterative identification
algorithms for Wiener nonlinear systems. These methods separate one bilinear cost function …

This letter focuses on identification problems of a Hammerstein-Wiener system with an
output error linear element embedded between two static nonlinear elements. A hierarchical …