<?xml version="1.0" encoding="UTF-8"?>
<article article-type="Research Article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">journal-of-information-and-optimization-sciences</journal-id>
      <journal-title-group>
        <journal-title>Journal of Information and Optimization Sciences</journal-title>
      </journal-title-group>
      <issn publication-format="electronic">2169-0103</issn>
      <issn publication-format="print">0252-2667</issn>
      <publisher>
        <publisher-name>Taru Publications</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.47974/JIOS-1952</article-id>
      <title-group>
        <article-title>Trajectory-based linearization of nonlinear dynamical systems : A novel approach for improved accuracy and applicability in advanced applications</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Byabarta</surname>
            <given-names>Nilanjan</given-names>
          </name>
          <aff>Department of Electronics and Communication Engineering, University of Engineering and Management, Kolkata, West Bengal, 700160, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Chatterjee</surname>
            <given-names>Abir</given-names>
          </name>
          <aff>Department of Electronics and Communication Engineering, University of Engineering and Management, Kolkata, West Bengal, 700160, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Mitra</surname>
            <given-names>Swarup Kumar</given-names>
          </name>
          <aff>Department of Electronics and Communication Engineering, Guru Nanak Institute of Technology, Kolkata, West Bengal, 700160, India</aff>
        </contrib>
      </contrib-group>
      <volume>46</volume>
      <issue>5</issue>
      <fpage>1725</fpage>
      <lpage>1736</lpage>
      <pub-date date-type="pub">
        <day>09</day>
        <month>07</month>
        <year>2025</year>
      </pub-date>
      <abstract>
        <p>This study considers linearisation with regard to a particular trajectory rather than a fixed point, introducing a novel method for linearising nonlinear signals in dynamical systems. The method is implemented on approximating a non-linear system by a linear time-varying system in the vicinity of a reference trajectory. The theoretical basis is established through a systematic mathematical derivation culminating in a proof of the linearization theorem. This approach will improve accuracy, allow applicability to new applications and experimental findings, increase flexibility, and enhance the possibility of specific application predictions in statistics for dielectric breakdown and operations for RRAM. The results confirm the applicability of the proposed approach for approximate description of non-linear system behavior and the prospects of using the method for stability analysis, control design, and understanding the behavior of complex systems. The theoretical and mathematical results presented in this paper provide a solid foundation for the application of the proposed linearization method in the analysis and control of complex dynamical systems.</p>
      </abstract>
      <kwd-group>
        <kwd>Non linearity</kwd>
        <kwd>Linearization</kwd>
        <kwd>Trajectory</kwd>
        <kwd>Signal conditioning</kwd>
      </kwd-group>
      <custom-meta-group>
        <custom-meta>
          <meta-name>access</meta-name>
          <meta-value>open</meta-value>
        </custom-meta>
        <custom-meta>
          <meta-name>retracted</meta-name>
          <meta-value>no</meta-value>
        </custom-meta>
      </custom-meta-group>
    </article-meta>
  </front>
</article>
