New Trends in Fuzzy Control System Applications in Complex Industrial Processes and Energy Systems
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 1113
Special Issue Editors
Interests: nonlinear control; fuzzy intelligent control; underactuated system
Interests: distributed control; adaptive control; robotics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the growing complexity of modern industrial processes and energy systems, fuzzy control systems and intelligent control methods have become essential tools for addressing nonlinearities, disturbances, and time delays. By combining fuzzy logic, neural networks (NNs), and iterative learning control (ILC), these approaches enable innovative control strategies that significantly improve performance, stability, and energy efficiency across diverse applications. This Special Issue aims to gather pioneering research on both theoretical developments and practical implementations of these advanced control techniques, pushing the frontiers of intelligent control design in complex systems.
This Special Issue on “New Trends in Fuzzy Control System Applications in Complex Industrial Processes and Energy Systems” seeks high quality research focusing on the latest novel advances fuzzy/NN/ILC intelligent control and other nonlinear control methods for both theoretical analysis and practical applications. Topics include, but are not limited to, the following:
- Intelligent control for nonlinear systems with time delay, disturbances, and a predetermined performance index for energy saving;
- Finite time/fixed time fuzzy control/NN control/ ILC/ model-free control design for the motion control of several different types of robotics, such as USV, AUV, UAV, WMR, Table Tennis Robot, Inspection robot, and so on;
- Distributed control/formation control/leader–follower tracking control design with fuzzy rule for nonlinear systems;
- New LLM/video data/image processing technology, algorithm design, applications and modeling.
Prof. Dr. Hua Chen
Dr. Gang Wang
Guest Editors
Dr. Yunfeng Ji
Guest Editor Assistant
Manuscript Submission Information
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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
- fuzzy control
- nonlinear systems
- robot
- USV
- time delay
- predetermined performance index
- LLM
- video data
- algorithms
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