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Fast evaluation of generalized associated linear equations (GALEs) for nonlinear systems characterization and compensation

Lookup NU author(s): Dr Zepeng LiuORCiD

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

© 2023 The Author(s)Nonlinear Output Frequency Response Functions (NOFRFs), which are a one-dimensional extension of the linear Frequency Response Function (FRF) to nonlinear cases, have been introduced for nonlinear system characterization and compensation. The evaluation of NOFRFs is accomplished by solving a series of linear difference or differential equations, known as Generalized Associated Linear Equations (GALEs). However, the derivation of GALEs often includes numerous recursive and symbolic calculations, posing significant challenges in both practical applications and computer programming. In the present study, a fast-computing algorithm, based on combinatorial calculations as opposed to recursive and symbolic calculations, is proposed for fast evaluation of GALEs. This allows for the evaluation of NOFRFs in a more streamlined and straightforward manner. The applications of the proposed fast-computing algorithm for nonlinear system characterization and compensation are demonstrated through several case studies including a High Power Amplifier (HPA) and a Duffing system. The results of the case studies show the effectiveness of applying the GALEs and NOFRFs for system design and safety control across a wide range of engineering applications.


Publication metadata

Author(s): Zhu Y-P, Liu Z, Zhang W, Zhang B

Publication type: Article

Publication status: Published

Journal: Journal of the Franklin Institute

Year: 2024

Volume: 361

Issue: 2

Pages: 944-957

Print publication date: 01/01/2024

Online publication date: 21/12/2023

Acceptance date: 13/12/2023

Date deposited: 20/02/2024

ISSN (print): 0016-0032

ISSN (electronic): 1879-2693

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.jfranklin.2023.12.037

DOI: 10.1016/j.jfranklin.2023.12.037


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