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Algorithmic Approaches to Control Theory and System Modeling

This special issue belongs to the section “Algorithms for Multidisciplinary Applications“.

Special Issue Information

Dear Colleagues,

Control theory and systems modeling analyze, design, and optimize systems that use feedback mechanisms to achieve specific goals. Classical control methods typically rely on differential equations to develop mathematical models of systems. Recently, there has been a significant increase in the use of fractional-order models using non-integer differential equations to capture more accurate system dynamics, improving control performance. Over the years, algorithmic approaches have evolved to complement classical techniques, increasing efficiency, robustness and adaptability in the control of complex systems. The latest developments in machine learning and artificial intelligence are revolutionizing thinking around control theory and system modeling.

This Special Issue invites submissions on emerging topics and innovative approaches highlighting the latest advancements in control theory and system modeling. We welcome contributions that delve into both theoretical developments and real-world applications in these fields.

Prof. Dr. Ramiro Barbosa
Dr. Paulo Moura Oliveira
Prof. Dr. Isabel Jesus
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. Algorithms is an international peer-reviewed open access monthly 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 1800 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

  • system modeling and simulation
  • linear and nonlinear models
  • modeling of integer and fractional-order systems
  • data-driven modeling
  • reduced-order modeling
  • hybrid systems modeling
  • evolutionary algorithms
  • optimal control
  • PID control
  • model predictive control
  • fractional-order control
  • machine learning for modeling and control
  • deep learning for modeling and control
  • neural networks for modeling and control
  • robust control
  • adaptive control
  • nonlinear control
  • reinforcement learning for modeling and control
  • fuzzy logic for modeling and control
  • system identification
  • metaheuristic algorithms
  • artificial intelligence for modeling and control

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Algorithms - ISSN 1999-4893
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