Advanced Control Systems and Engineering Cybernetics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".
Deadline for manuscript submissions: 20 July 2025 | Viewed by 85
Special Issue Editors
Interests: optimal and robust control; process identification and design of control structures
Special Issues, Collections and Topics in MDPI journals
Interests: optimal and robust control; process identification and design of control structures
Special Issues, Collections and Topics in MDPI journals
Interests: vibration control; system identification; rotating machinery; mechatronics; automatic control of energy conversion systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Control theory is ubiquitous in engineering cybernetics today, and many applications of this technology are being developed in a broad range of areas, especially research on the science of automatic control and supervision of dynamic systems, such as robots, aircraft, marine craft, cars, electrical circuits, biological systems, and process plants. Moreover, in recent years, these areas have been generating interest for including adaptation, learning, self-organization, pattern recognition, and artificial intelligence. The primary objective of this Special Issue, titled “Advanced Control Systems and Engineering Cybernetics”, is to collect the cutting-edge technological trends and challenges in the field of control theory, providing significant theoretical support and practical methodologies for addressing actual problems in cybernetic engineering applications to transform our society in many ways, improving healthcare, education, transportation, manufacturing, ethical implications, and safety concerns. In light of the abovementioned applications, contributors are invited to submit their original manuscripts on topics including, but not limited to:
- Real-world control theory applications.
- Modeling, control, and optimization of complex systems.
- Robust constrained cooperative control schemes.
- Neural networks and deep learning.
- Reinforcement learning, continual learning, domain adaptation.
- Machine learning for image processing.
- Multi-agent collaborative control for manufacturing.
- Artificial intelligence for optimization.
The guest editors look forward to receiving your contributions to this Special Issue. Let us continue to push the advances of control theory in engineering cybernetics.
Prof. Dr. David Sotelo
Prof. Dr. Carlos Sotelo
Prof. Dr. Francisco Beltran-Carbajal
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. Mathematics 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 2600 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
- autonomous vehicles
- mobile robots
- control systems and optimization
- obstacle avoidance
- learning and adaptive control
- artificial intelligence
- multi-agent systems
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