Symmetry in Fuzzy Systems and Control: A Path to Innovative Solutions
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Mathematics".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 77
Special Issue Editors
Interests: stability; observer-based control; delay systems; T-S fuzzy systems
Interests: fuzzy systems; MATLAB simulation; control theory; system modeling; renewable energy technologies; control and instrumentation; advanced control theory; system identification; systems dynamics; artificial intelligence; systems engineering
Special Issue Information
Dear Colleagues,
Modern systems are increasingly complex and dynamic, posing challenges in maintaining stability, robustness, and efficiency. Symmetry plays a crucial role in addressing these challenges, particularly in fuzzy systems and control methods, by identifying patterns, reducing computational complexity, and enhancing system optimization. Furthermore, symmetric properties in time-delay and descriptor systems can lead to more efficient control strategies and improved stability.
This Special Issue focuses on bridging theory and practical applications, showcasing innovative research that leverages symmetry to optimize computational efficiency and develop robust frameworks for managing complex dynamic systems. By fostering interdisciplinary work, it aims to advance the use of symmetry in algorithm design, artificial intelligence, and industrial applications.
The aim of this Special Issue is to advance the understanding and application of fuzzy systems and control methodologies in addressing challenges within complex and dynamic systems. By exploring theoretical advancements, practical implementations, and innovative approaches, this Issue seeks to enhance system robustness, optimize computational efficiency, and provide effective solutions to time-delay systems and other intricate problems.
This Special Issue invites original research and review articles focusing on fuzzy systems, control systems, and their interdisciplinary applications. Topics of interest include theoretical developments, practical applications, and case studies that enhance system robustness, improve computational efficiency, and offer innovative solutions to complex challenges. Contributions showcasing novel methods, algorithms, and creative approaches to addressing intricate system problems are particularly encouraged.
Dr. Hicham El Aiss
Dr. Taha Zoulagh
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 100 words) can be sent to the Editorial Office for announcement on this website.
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. Symmetry 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
- fuzzy systems
- control methodologies
- time-delay systems
- system stability and robustness
- Lyapunov-based analysis
- complex dynamic systems
- descriptor systems
- LPV models
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