An exhaustive review on the use of structured stochastic search approaches towards system
identification and digital filter design is presented in this paper. In particular, the paper …

A multi-innovation fractional order stochastic gradient (MIFOSG) algorithm, which involves a
variable initial value scheme, is investigated to identify the Hammerstein nonlinear ARMAX …

Parameter-matching methods and optimal control strategies of the top-selling hybrid electric
vehicle (HEV), namely, power-split HEV, are widely studied. In particular, extant research on …

This paper considers iterative identification problems for a class of nonlinear systems with
colored noises, which can be described by a linear-in-parameters output error …

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 …

Fractional calculus plays a fundamental role in understanding the physics of nonlinear
systems due to its heritage of uncertainty, nonlocality and complexity. In this study, novel …

In this article, a novel Hammerstein structure is proposed for nonlinear networked systems
based on an interval type-2 Takagi–Sugeno–Kang (IT2TSK) fuzzy system. The proposed …

In this paper, a new method for nonlinear system identification via extreme learning machine
neural network based Hammerstein model (ELM-Hammerstein) is proposed. The ELM …

Identification of Hammerstein nonlinear models has received much attention due to its ability
to describe a wide variety of nonlinear systems. This paper considers the parameter …

Based on pervious experimental research on the application of Exhaust Gas Recirculation
(EGR) and Lean NOx Trap (LNT) with its effects on NOx emission control and secondary …