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      Influence of the Selection of Reaction Curve’s Representative Points on the Accuracy of the Identified Fractional-Order Model

      1 , 2
      Journal of Mathematics
      Hindawi Limited

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          Abstract

          In this paper, a general procedure for identifying a fractional first-order plus dead-time (FFOPDT) model is presented. This procedure is based on fitting three arbitrary points on the process reaction curve, where process information is obtained from a simple open-loop test. A simplification of the general identification procedure is also considered, where only points symmetrically located on the reaction curve are selected. The proposed symmetrical procedure has been applied to the following sets of representative points: (5–50–95%), (10–50–90%), (15–50–85%), (20–50–80%), (25–50–75%), and (30–50–70%). Analytical expressions of the corresponding FFOPDT model parameters for these sets of symmetrical points have been obtained. In order to show the effectiveness and applicability of this procedure for the identification of fractional-order models and to get insight into the influence of selection of the set of symmetrical points on the accuracy of the identified model, some numerical examples are proposed. This identification procedure gives good results in comparison with other integer- and fractional-order identification methods. Finally, some conclusions and final remarks are offered in this context.

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          Most cited references48

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          Fractional-order Systems and Controls

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            The role of fractional calculus in modeling biological phenomena: A review

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              Tuning and auto-tuning of fractional order controllers for industry applications

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                Author and article information

                Contributors
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                (View ORCID Profile)
                Journal
                Journal of Mathematics
                Journal of Mathematics
                Hindawi Limited
                2314-4785
                2314-4629
                June 3 2022
                June 3 2022
                : 2022
                : 1-22
                Affiliations
                [1 ]Department of Computing, Electronics and Communication Technologies, Faculty of Engineering, University of Deusto, 48007 Bilbao, Spain
                [2 ]Department of Mechanics, Design and Industrial Management, Faculty of Engineering, University of Deusto, 48007 Bilbao, Spain
                Article
                10.1155/2022/7185131
                bf76fddf-617f-421b-8636-7074823928e4
                © 2022

                https://creativecommons.org/licenses/by/4.0/

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