Submission Deadline: 30 March 2024 (closed) View: 344
The integration of machine learning techniques with control systems has led to several advancements in various domains such as robotics, automation, and process control. The objective of this special issue is to bring together original research contributions that demonstrate the latest developments, innovations, and applications of control systems and machine learning. We invite submissions of research papers that cover the following topics:
· Intelligent Computing for Engineering and Management
· Control systems design using machine learning
· Reinforcement learning for control systems
· Machine learning-based fault detection and diagnosis in control systems
· Intelligent control systems for robotics and automation
· Adaptive and learning-based control methods
· Real-time control systems and machine learning
· Fuzzy control theory in decision analysis
· Fuzzy clustering
· Computational intelligence
· Algorithms for Machine learning and Neural Network
· Hybrid control systems
· Applications of control systems and machine learning in process control, power systems, transportation, and other fields
The special issue will feature high-quality research papers that provide new insights into the integration of control systems and machine learning, with a focus on real-world applications. We encourage submissions from both academics and industry professionals to showcase their latest research and practical implementations.
The objectives of this special issue are:
· To bring together original research contributions that highlight the latest developments and innovations in the integration of control systems and machine learning.
· To showcase the advancements and applications of control systems and machine learning in various domains, including robotics, automation, and process control.
· To explore the challenges and opportunities in the use of machine learning for control systems, and to propose solutions to overcome these challenges.
· To provide a platform for researchers and industry professionals to share their experiences and best practices in applying machine learning to control systems.
Overall, this special issue will provide a platform for researchers and industry professionals to showcase their latest research and practical implementations of machine learning in control systems. It will contribute to advancing the field by promoting the integration of machine learning with control systems and highlighting the potential benefits and challenges.
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