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Advances in Mathematical Optimal Control and Applications

This special issue belongs to the section “Mathematical Analysis“.

Special Issue Information

Dear Colleagues,

Control theory is a mathematical discipline that deals with the modeling and regulation of dynamical systems, with the goal of guiding their behavior to meet specific objectives. It involves developing strategies to manipulate inputs to achieve desired outputs, ensuring system stability, performance, and efficiency. Control theory is essential in managing uncertainty, disturbances, and fluctuations in systems, making it a powerful tool in various domains.

As systems grow increasingly complex, with applications spanning from engineering and robotics to economics and biology, advancements in control theory become more crucial. New approaches are continually being developed to address challenges in areas such as nonlinear control, adaptive control, and optimal control. These methods aim to enhance system performance in environments with uncertainty and dynamic change.

This Special Issue is dedicated to the latest advancements in control theory, providing a platform for presenting cutting-edge research and developments. The guest editors invite submissions that explore both the theoretical foundations and practical applications of control theory, with a focus on emerging techniques and their applications in modern science and engineering. This issue aims to serve as a valuable resource for researchers and practitioners working to push the boundaries of control theory.

Among the topics that this Special Issue will address, we may consider the following non-exhaustive list: necessary conditions of optimality; sufficient conditions of optimality; maximum principle; control systems with time delays; control of PDE; consensus models; traffic models; adaptive control; impulsive problems; asymptotic controllability; design of feedback laws; control systems with uncertainty; applications of control theory.

We hope that this initiative will be attractive to researchers specialized in the above-mentioned fields. Contributions may be submitted on a continuous basis before the deadline. After a peer-review process, submissions will be selected for publication based on their quality and relevance.

Dr. Giovanni Fusco
Prof. Dr. Valery Y. Glizer
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. Axioms 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 2400 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

  • stabilizability
  • controllability
  • maximum principle
  • feedback controls
  • optimization
  • delay systems
  • robust controls
  • parameter estimation

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Axioms - ISSN 2075-1680