Most works on system identification of block‐oriented nonlinear systems were devoted to
Wiener and Hammerstein systems. This article is focused on a more general, and so more …

This article investigates the parameter estimation problems of Hammerstein‐Wiener
nonlinear systems with non‐uniform sampling. The over‐parameterization identification …

The parameter estimation of fractional order nonlinear Wiener system is complex and
challenging task due to the presence of significant nonlinearity at the output block, unknown …

The paper considers the problem of nonparametric estimation of nonlinear characteristic in
the FIR Wiener system. Methods proposed so far have suffered from the so-called 'curse of …

The paper identifies a Wiener system, which is excited by a cyclostationary time series. To
estimate the first subsystem's linear dynamic impulse response: this proposed algorithm first …

Saturation nonlinearity exists widely in various practical control systems. Modeling and
parameter estimation of systems with saturation nonlinearity are of great importance for …

In the paper we deal with the problem of non-linear dynamic system identification in the
presence of random noise. The class of considered systems is relatively general, in the …

Nonlinear system identification has been a hot research field over the past two decades. A
substantial portion of the research work has been carried out based on block-structured …

Safety is an essential asset when learning control policies for physical systems, as violating
safety constraints during training can lead to expensive hardware damage. In response to …

The problems of inconsistent data sampling frequency, outliers, and coloured noise often
exist in system identification, resulting in unsatisfactory identification results. In this study, a …