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Identification of a Non‐Commensurate Fractional‐Order Nonlinear System Based on the Separation Scheme.

Authors :
Wang, Junwei
Xiong, Weili
Ding, Feng
Source :
International Journal of Adaptive Control & Signal Processing. Oct2024, p1. 16p. 14 Illustrations.
Publication Year :
2024

Abstract

ABSTRACT This article is aimed to study the parameter estimation problems of a non‐commensurate fractional‐order system with saturation and dead‐zone nonlinearity. In order to reduce the structural complexity of the system, the model separation scheme is used to decompose the fractional‐order nonlinear system into two subsystems, one includes the parameters of the linear part and the other includes the parameters of the nonlinear part. Then, we derive an auxiliary model separable gradient‐based iterative algorithm with the help of the model separation scheme. In addition, to improve the utilization of the real time information, an auxiliary model separable multi‐innovation gradient‐based iterative algorithm is presented based on the sliding measurement window. Finally, the feasibility of the presented algorithms is validated by numerical simulations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08906327
Database :
Academic Search Index
Journal :
International Journal of Adaptive Control & Signal Processing
Publication Type :
Academic Journal
Accession number :
180516110
Full Text :
https://doi.org/10.1002/acs.3923