This article is aimed to study the modeling problems of combinational signals or periodic
signals. To overcome the computation complexity of modeling the signals with plenty of …

This article studies the identification problem of the nonlinear sandwich systems. For the
sandwich system, because there are inner variables which cannot be measured in the …

The Krasnoselskii-Pokrovskii (KP) model, as one of the popular operator-based hysteresis
models, is commonly used to describe the hysteresis nonlinearities, especially in the smart …

Piezo-actuated stages are widely applied in the field of high-precision positioning. However,
piezo-actuated stages produce hysteresis between the input voltage and the output …

This brief presents a novel one-step adaptive parameter estimation framework for
identification of unknown asymmetric dead-zone characteristic parameters (eg, width and …

Due to the backlash hysteresis, robust and accurate tracking control of a hysteresis system is
a challenging problem. We propose in this paper an active observer based robust control …

In this paper, a data-driven modeling method for electromagnetically actuated micromirror in
random noisy environment is proposed. In this method, the electromagnetic micromirror is …

This paper investigates parameter identification of nonlinear Wiener-Hammerstein systems
by using filter gain and novel cost function. Taking into account the system information is …

Krasnoselskii–Pokrovskii (KP) model is one of popular operator-based hysteresis models.
For the numerical implementation, the KP model is constructed by the superposition of …

In this paper, a novel recursive hierarchical parametric identification method based on initial
value optimization is proposed for Wiener-Hammerstein systems subject to stochastic …