Nonlinear system identification is an extremely broad topic, since every system that is not
linear is nonlinear. That makes it impossible to give a full overview of all aspects of the fi eld …

Lithium-ion batteries are widely recognized as a crucial enabling technology for the
advancement of electric vehicles and energy storage systems in the grid. The design of …

Block oriented models are recurrently employed to describe the dynamic characteristics of
nonlinear systems. This paper adopts an efficacious block-oriented model called cascaded …

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

The Wiener-Hammerstein (WH) system is a popular and easy to understand class of Volterra
nonlinear dynamical system. It consists of a static nonlinearity positioned between two …

This article proposes a variational Bayesian (VB) approach for the identification of linear
parameter-varying (LPV) dual-rate systems when the measured data are contaminated with …

The Wiener-Hammerstein (WH) system is the most popular type of the Volterra nonlinear
dynamical system. It is a combination of two dynamical subsystems, separated by a static …

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 …

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 …

In this paper, a subspace identification method is proposed for Hammerstein-type nonlinear
systems subject to periodic disturbances with unknown waveforms. By separating the …