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Modelling of Nonlinear Dynamical Systems

Special Issue Information

Dear Colleagues,

This Special Issue explores the latest advancements in nonlinear dynamical system modeling. It aims to highlight innovative research and practical applications that leverage nonlinear dynamical system modeling in order to enhance the understanding, analysis, prediction, and control of complex systems. This Special Issue seeks to provide valuable insights for researchers, practitioners, and industry professionals dedicated to deepening their insights into complex phenomena and developing effective solutions through cutting-edge nonlinear dynamical system modeling techniques.

Prof. Dr. Liming Dai
Prof. Dr. Jialin Tian
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Modelling is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • nonlinear dynamical systems
  • data-driven modeling
  • first-principle modeling
  • system identification
  • system control
  • complex systems
  • chaos
  • machine learning

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Published Papers

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Modelling - ISSN 2673-3951