Advances in Intelligent Control of Actuator Systems
A special issue of Actuators (ISSN 2076-0825). This special issue belongs to the section "Control Systems".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 1282
Special Issue Editors
Interests: intelligent controls; learning control; adaptive dynamic programming; data-driven control; vehicles
Interests: neural networks; state estimation; optimization; intelligent control; dual control; autonomous vehicles and robotics
Special Issues, Collections and Topics in MDPI journals
Interests: control theory; errors; feedback control; binary-valued measurement; communications channels; consensus; consensus problems; control strategies; convergence; estimation errors; event-triggered controls; projection algorithms; random noise; multi agent systems
Special Issue Information
Dear Colleagues,
Actuator systems are systems composed of actuators or mechanisms that convert energy (typically electric, pneumatic, mechanical, or hydraulic) into physical motion or mechanical work to perform specific control tasks. Actuator systems have impacts in many areas, such as energy, robotics, manufacturing, transportation, and aerospace. They bridge the gap between control systems and the practical applications, enabling dynamic and automated interactions with the environment. With the development of technology, the demand of advances in intelligent control has been continuously increasing. This Special Issue aims to provide a forum for researchers and developers to exchange ideas, discuss recent trends, and share achieved results related to these fields. Original and innovative research works from both academia and industry are welcome. Potential topics of interest include, but are not limited to, the following:
- The intelligent control of actuator systems and related applications;
- Secure or safety-related techniques for actuator systems;
- Machine learning and computational intelligence for actuator systems;
- The dynamic optimization of actuator systems and related applications;
- Advanced methodology for actuator system operation and control;
- Data-driven techniques for the identification, modeling, and control of actuator systems
- Smart planning, market design, and regulatory frameworks for actuator systems;
- The integration of other emerging technologies in the operation, control, optimization, and planning of actuator systems.
Dr. Kun Zhang
Dr. Guoqiang Tan
Dr. Ting Wang
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. Actuators 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
- intelligent control
- modeling and analysis
- control applications
- actuator systems
- sensing nonlinear system
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