Conference News
The 13th Data Driven Control and Learning Systems Conference
The Data Driven Control and Learning Systems Conference (DDCLS) is jointly organized by the Data Driven Control, Learning, and Optimization Committee of the Chinese Association of Automation and Qingdao University, co-sponsored by the IEEE Beijing Section. The conference aims to provide an academic exchange platform for domestic and international scholars and engineers in the fields of data-driven control, learning, and optimization, exchanging the latest theoretical and technological achievements. After comprehensive assessment and evaluation by the DDCLS organizing committee, it decided that the 13th IEEE Data Driven Control and Learning Systems Conference (DDCLS'24), will be held in Kaifeng, Henan, from May 17th to 19th, 2024 and locally organized by Henan University. The conference will feature keynote addresses, distinguished lectures, oral reports, and poster presentations. Currently, the DDCLS organizing committee is actively arranging various conference preparations, and detailed information is continuously being updated. Please visit the conference website at https://ddcls24.henu.edu.cn for more conference information.
Thank you for your attention and support for the DDCLS conference! We look forward to meeting you in Kaifeng, the ancient capital of the Eight Dynasties from May 17th to 19th, 2024! Once again, thank you for your support and understanding!
DDCLS'24 Organizing Committee
Data Driven Control, Learning, and Optimization Committee
Chinese Association of Automation
August 28th, 2023
Key Dates
Full Paper/Invited Session Proposals Submission：
December 31, 2023, January 31, 2024,
February 29, 2024
Notification of Acceptance：
February 28, 2024,
March 25, 2024
Final Manuscript Submission / Author Registration：
March 31, 2024,
April 15, 2024
Call For Papers
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'24 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
- Adaptive dynamic programming, reinforcement learning and learning based control
- Robustness on data-driven control
- Relationships between data-driven and model-based control methods
- 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 and applications of complex big-data systems
- Big data in industrial processes and its applications in modeling and control
Submission Notices: Full papers (regular or invited) describing original work, extended abstract, invited session proposals should be submitted by December 31, 2023, January 31, 2024, February 29, 2024 through the portal http://cms.amss.ac.cn/. Upon acceptance, authors will be required to register and present their papers at DDCLS’24. For further information and submission requirements for manuscript, please refer to the conference website https://ddcls24.hnust.edu.cn or contact us via email secretary_ddcls@163.com.