Machine Learning in Control System: Latest Achievements, Challenges and Prospects
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (22 April 2022) | Viewed by 481
Special Issue Editor
Interests: control systems; model predictive control; system identification; modeling and control of biomedical systems; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Integration of machine learning tools with control has recently attracted the attention of the control systems community, which demonstrated significant potential, especially in complex new engineering applications. However, it opens new challenges and difficulties related to stability, safety, and computational and memory complexities. The objective of this Special Issue is to highlight the latest research achievements on machine learning-based control to solve these arising challenges. The scope of this Special Issue includes, but is not limited to, modeling and control of dynamic systems using machine learning, reinforcement learning-based control, deep learning-based control, model-based control using machine learning, data-driven-based control using machine learning, applications of machine learning-based control systems, machine learning for adaptive control, and modeling dynamic systems using machine learning. This Special Issue is focused on new developments in the field of machine learning in control systems.
Dr. Hossam S. Abbas
Guest Editor
Manuscript Submission Information
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Keywords
- control systems
- model predictive control
- system identification
- modeling and control of dynamic systems
- reinforcement learning
- deep learning
- data-driven control
- neural networks
- learning-based control
- intelligent control
- machine learning
- distributed learning
- optimization for machine learning
- adaptive control
- safe control
- stability
- intelligent robotics
- intelligent autonomous vehicle
