Advanced Intelligent Control Theory and Applications in Industrial Electronic Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".
Deadline for manuscript submissions: 15 February 2025 | Viewed by 33
Special Issue Editors
Interests: intelligent systems; robot technology; nonlinear control systems; renewable energy systems
Interests: neural network systems; nonlinear control and observation; complex dynamical systems; intelligent systems and robot technology; renewable energy systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent decades, the continuous development of industrial electronic systems has significantly advanced global technological levels. Complex industrial electronic systems, such as new energy systems and robotic systems, have been extensively researched and developed in recent years. The high-performance control of industrial electronic systems has always been a hot topic for researchers and the industry. However, industrial systems face challenges posed by complex nonlinearities, uncertainties, and disturbances. Methods such as sliding mode control and active disturbance rejection control have been widely applied due to their strong robustness and disturbance rejection capabilities. Simultaneously, various learning-based control methods have become a hot topic for researchers in recent years due to their excellent control performance.
This Special Issue provides a platform for researchers and practitioners to present the latest theoretical and technological advancements in industrial control systems, aiming to improve productivity, quality, and safety at low costs across a variety of industries. Application areas include robotics, new energy systems, and other related industry applications.
The topics of this Special Issue include the following:
- Control theories, design, and implementation for industrial systems.
- Adaptive control, optimal control, robust control, and intelligent control for industrial systems.
- Sliding mode control, backstepping control, model predictive control, etc.
- Neural network control, fuzzy control, reinforcement learning control, etc.
- Application of data-driven and digital twin technologies in industrial systems.
- Applications to robotic systems, manipulators, new energy systems, autonomous systems, etc.
Dr. Zhuang Liu
Prof. Dr. Jianxing Liu
Prof. Dr. Dezhi Xu
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. Electronics 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
- industrial systems
- adaptive control
- optimal control
- robust control
- intelligent control
