Identification of fractional Hammerstein systems with the conformable fractional derivative
Open Access
- 12 August 2024
- journal article
- research article
- Published by Wiley in International Journal of Adaptive Control and Signal Processing
- Vol. 38 (11) , 3598-3614
Abstract
Summary: In this article, we study parameter estimation problems for fractional commensurate Hammerstein systems utilizing the conformable fractional derivative. Two algorithms are investigated: first, the Poisson moment functions (PMF) method, aiming to transfer the fractional derivative of the measurement signal into PMF using the fractional Laplace transform and convolution; second, a proposed new instrumental variable algorithm, which is based on the conformable fractional derivative. Both algorithms have been analyzed and shown to be consistent. A comprehensive complexity analysis is provided for each algorithm. Furthermore, a kind of special time‐varying systems are discussed under the conformable fractional derivative. Finally, an example is given to illustrate the effectiveness of the proposed algorithms.Keywords
Funding Information
- Sichuan Provincial Science and Technology Support Program (2023NSFSC0072)
This publication has 44 references indexed in Scilit:
- Fuzzy-Evolution Computing Paradigm for Fractional Hammerstein Control Autoregressive SystemsInternational Journal of Fuzzy Systems, 2022
- Design of multi innovation fractional LMS algorithm for parameter estimation of input nonlinear control autoregressive systemsApplied Mathematical Modelling, 2021
- An innovative fractional order LMS algorithm for power signal parameter estimationApplied Mathematical Modelling, 2020
- Identification of fractional Hammerstein system with application to a heating processNonlinear Dynamics, 2019
- Normalized fractional adaptive methods for nonlinear control autoregressive systemsApplied Mathematical Modelling, 2019
- The analytical solutions for conformable integral equations and integro-differential equations by conformable Laplace transformOptical and Quantum Electronics, 2018
- Identification of Multivariable Fractional Order SystemsAsian Journal of Control, 2013
- Fractional differential equations in electrochemistryAdvances in Engineering Software, 2010
- A new kernel-based approach for linear system identificationAutomatica, 2010
- The identification of nonlinear biological systems: Wiener and Hammerstein cascade modelsBiological Cybernetics, 1986