Implementations and Applications of Algorithms Based on Fractional Calculus to Engineering Problems
A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "Engineering".
Deadline for manuscript submissions: 31 July 2025 | Viewed by 216
Special Issue Editors
Interests: FPGA; instrumentation; mechatronics; digital systems; fault detection; fractional order
Special Issues, Collections and Topics in MDPI journals
Interests: fractional-order systems; Lyapunov stability theory; nonlinear observers and synchronization; chaos and non-conventional operators
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, the scientific community has focused its attention on using fractional calculus and differential equations as tools to develop various algorithms for signal processing and their corresponding applications, such as the development and implementation of complex algorithms associated with chaotic systems in embedded systems, which allows for the use of diverse applications and practical solutions in engineering problems.
Various research works have proven that applying fractional calculus facilitates the development of novel and more robust solutions compared to solutions with integer calculus. This enables efficient algorithms to be implemented and applied to engineering problems such as automatic control, fault detection, encryption, monitoring, intelligent systems, and image processing.
Therefore, developing efficient algorithms based on fractional calculus is a novel engineering challenge due to several considerations such as real-time processing, quantification error, memory resources, finite word length, parallel processing, power consumption, maximum operation frequency, and bitrate, to mention a few.
This Special Issue provides a forum for presenting new and improved algorithms or techniques based on fractional calculus for applications in current engineering problems. We invite authors to contribute original research articles exploring the latest developments of fractional-order systems. Topics may include, but are not limited to, the following:
- Embedded systems;
- Robot control;
- Biomedical applications;
- Autonomous vehicles;
- Neural networks;
- Chaotic systems;
- Image processing;
- Nonlinear observers;
- Power systems;
- Signal processing.
Dr. José de Jesús Rangel Magdaleno
Dr. Oscar Martínez-Fuentes
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. Fractal and Fractional 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 2700 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
- fractional calculus
- fractional-order systems
- algorithm implementation
- algorithm development
- signal processing
- image processing
- fault detection
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