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    Control of Hysteretic Systems Through an Analytical Inverse Compensation Based on a NARX Model

    Lacerda Junior, Wilson R. and Martins, Samir A. M. and Nepomuceno, Erivelton and Lacerda, Marcio J. (2019) Control of Hysteretic Systems Through an Analytical Inverse Compensation Based on a NARX Model. IEEE Access, 7. pp. 98228-98237. ISSN 2169-3536

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    It has been widely accepted that a hysteretic system can be controlled by combining inverse compensation with feedback. Among the strategies to identify hysteretic systems, data-driven models have been received great attention due to its flexibility and ability to online and adaptive estimation. Nevertheless, less attention has been paid to determine its inversion, which is essential to use such models in control applications. The novelty of this paper is twofold. First, we propose a method to obtain analytically the inverse compensation of a hysteretic system modeled by a Nonlinear Auto-Regressive Model with eXougenous input (NARX) representation with a bounding structure. Second, this paper presents an adapted nonautonomous electronic circuit with rate-independent hysteresis and linear dynamics, which is used as a benchmark to test the proposed methodology. The experimental results have shown the efficiency of the proposed technique.

    Item Type: Article
    Keywords: Bounding structure; NARX model; system identification; system with hysteresis; inverse compensation;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 16733
    Identification Number:
    Depositing User: Erivelton Nepomuceno
    Date Deposited: 22 Nov 2022 12:46
    Journal or Publication Title: IEEE Access
    Publisher: Institute of Electrical and Electronics Engineers
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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