New Topics on System Learning and Control and Its Applications
A special issue of Applied Sciences (ISSN 2076-3417).
Deadline for manuscript submissions: 20 February 2026 | Viewed by 9
Special Issue Editors
Interests: nonlinear safety control and fault detection; real time estimation of human arm impedance; smart material actuators; micro hands; wireless power transfer systems; micro reactors
Special Issues, Collections and Topics in MDPI journals
Interests: processor architecture; high-performance computing; AI-based IoT; underwater drones; cultural heritage preservation and protection
Special Issues, Collections and Topics in MDPI journals
Interests: terahertz; MEMS sensor; nonlinear oscillation; mode coupling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
System learning and control are fundamental and evolving research areas, increasingly vital for the development of intelligent, adaptive, and robust systems. Recent advancements in artificial intelligence, machine learning, and high-performance computing have enabled the integration of learning-based techniques into control systems. This integration opens new frontiers for dynamic optimization, autonomous decision-making, and reliable control under uncertain or nonlinear conditions.
This Special Issue aims to showcase innovative approaches, theoretical developments, and practical applications that combine system learning techniques with modern control theory. In particular, it encourages submissions focusing on fuzzy modeling, data-driven control, nonlinear and nonsmooth system handling, and intelligent optimization in uncertain environments, especially for real-world and industrial systems. Topics of interest include, but are not limited to, the following areas:
- Reinforcement learning and adaptive control.
- Data-driven system identification and model-free control.
- Fuzzy modeling and control for nonlinear and uncertain systems.
- Optimization techniques for real-time and embedded systems.
- Human-in-the-loop and cooperative control systems.
- Applications in robotics, industrial automation, energy systems, and smart infrastructure.
- Single-electron transistors and nanoscale control systems.
- MEMS/NEMS-based sensing and actuation.
- Semiconductor nanostructures for intelligent system integration.
- Terahertz technologies in learning-based communication and control.
This Special Issue welcomes original research papers, experimental studies, and comprehensive review articles that contribute to the advancement of intelligent control systems through the integration of system learning techniques and control theory.
Prof. Dr. Mingcong Deng
Dr. Lin Meng
Dr. Ya Zhang
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. Applied Sciences 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 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
- learning
- control systems
- human factor
- MEMS
- IoT
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