Data-driven control theory, approaches and applications

Model-free adaptive control theory and applications

Iterative learning/ Repetitive control and identification

Data-driven modeling, optimization, scheduling, decision, fault diagnosis, health maintenance and performance evaluation

Reinforcement learning

Robustness on data-driven control

Complementary controller design approaches and relationships between data-driven and model-based control methods

Data-driven methods for industrial processes

Data-driven modeling, control and optimization for traffic systems

Statistical learning, machine learning, data mining and practical applications in automation field

Neural networks, fuzzy systems control methods in data driven manner

Big data technology and applications