This Special Issue will focus on control, modeling, various machine learning techniques, fault diagnosis, and fault-tolerant control for systems. Papers specifically addressing the theoretical, experimental, practical, and technological aspects of modeling, control, fault diagnosis, and fault-tolerant control of various systems and extending concepts and methodologies from classical techniques to hybrid methods will be highly suitable for this Special Issue.
Potential themes include, but are not limited to:
Modeling and identification
Adaptive and hybrid control
Adaptive and hybrid observers
Reinforcement learning for control
Data-driven control
Fault diagnosis
Fault-tolerant control of systems based on various control and learning techniques
Prof. Dr. Jong-Myon Kim
Prof. Dr. Hyeung-Sik Choi
Dr. Farzin Piltan
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