Advances in Control Systems for Intelligent and Resilient Engineering Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E2: Control Theory and Mechanics".
Deadline for manuscript submissions: 30 January 2026 | Viewed by 8
Special Issue Editors
Interests: mechatronics; control & automation; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: Industry 4.0; machine learning; cyber physical systems; blockchain
Special Issues, Collections and Topics in MDPI journals
Interests: net zero transport; battery electric and fuel cell electric vehicles; thermal management; emission reduction; renewable/alternative energy
Special Issues, Collections and Topics in MDPI journals
2. AVL Powertrain UK, University of Warwick, Science Park, Unit Two, Sovereign Ct, Coventry CV4 7EZ, UK
Interests: battery energy storage systems; electrification; powertrains; renewable energies
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue will explore recent advances in control systems theory, design, and application, with a particular focus on intelligent, adaptive, and resilient strategies. It aims to bring together high-quality research addressing the challenges of modern industrial systems, cyber–physical systems, and Industry 5.0 initiatives.
Topics of Interest (including but not limited to):
- Intelligent and nonlinear control methods
- Adaptive and robust control
- Machine learning in control systems
- Control applications in Industry 4.0/5.0
- Digital twins and predictive control
- Cyber–physical and embedded control systems
- Human-centric and collaborative automation
- Multi-agent and distributed control
- Control strategies for renewable energy systems
- Fuzzy logic, neural networks, and hybrid control techniques
Expected Impact:
This issue will gather cross-disciplinary insights into the design and deployment of future-ready control systems, promoting both theoretical developments and real-world applications in line with evolving industrial and societal needs.
Dr. Aydin Azizi
Dr. Reza Vatankhah Barenji
Dr. Meisam Babaie
Dr. Farhad Salek
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
- intelligent and nonlinear control methods
- adaptive and robust control
- machine learning in control systems
- control applications in industry 4.0/5.0
- digital twins and predictive control
- cyber–physical and embedded control systems
- human-centric and collaborative automation
- multi-agent and distributed control
- control strategies for renewable energy systems
- fuzzy logic, neural networks, and hybrid control techniques
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