The modulating functions method has been used for the identification of linear and nonlinear
systems. In this paper, we generalize this method to the on-line identification of fractional …

The present paper addresses the important issue of monitoring the operating state of the
Polymer Electrolyte Membrane Fuel Cell systems. The monitoring system takes a model …

This article deals with the identification of fractional order systems. A new algorithm based
on modulating function is presented providing recursive parameter estimation of fractional …

This study presents a class of fractional order models for system identification of thermal
dynamics of buildings. Fractional order dynamics has been found to be inherent in the …

In this paper, a fractional-order unscented Kalman filter (FUKF) is introduced at first. Then, its
convergence is analyzed based on Lyapunov functions for nonlinear fractional-order …

Many phenomena in practical processes cannot be accurately described by conventional
differential equations, while fractional order differential equations can describe the …

This paper discusses identification of the fractional order Hammerstein model with colored
noise. The static part of the Hammerstein model is a two-stage piecewise nonlinearity, while …

The Wiener model is a case of block-oriented model, which is suitable for modeling a large
class of nonlinear systems. It consists of the cascade of two parts, where a linear dynamic …

This work presents a new method for the identification of fractional-order nonlinear systems
from time domain data. A parametric identification technique for integer-order systems using …

In this paper, the design of the fractional-order predictive functional controller (α PFC) for the
linear fractional systems of arbitrary order has been presented. For this purpose, at first, the …