The 2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)

The English papers accepted by our previous DDCLS conferences had been included in the IEEE Xplore, and indexed by EI Compendex or ISTP database. The DDCLS’22 covers both theory and applications in all the areas of data driven control and learning systems. The topics of interest include, but are not limited to:

Data-driven control theory, approaches and applications
Model-free adaptive control theory and applications
Active disturbance rejection control and applications
Data-driven fault diagnosis, health maintenance and performance evaluation
Iterative learning identification, iterative learning control, repetitive control
Data-driven modeling, optimization, scheduling, decision and simulation
Statistical learning, machine learning, data mining and practical applications in automation field
Neural networks, fuzzy systems control methods in data driven manner
Reinforcement learning control
Robustness on data-driven control
Complementary controller design approaches and relationships between data-driven and model-based control methods
Applications of data-driven methods to industrial processes
Data-driven modeling, control and optimization for traffic systems
Data-driven control for practical complex processes
Technology of complex big-data systems and applications
Big data in industrial processes and its applications in modeling and control