Conference News
第十三届数据驱动控制与学习系统会议
尊敬的与会嘉宾及代表，
数据驱动控制与学习系统会议（DDCLS）是由中国自动化学会数据驱动控制、学习与优化专业委员会和青岛大学联合主办，
IEEE北京分会协办的综合性学术会议，会议旨在为数据驱动控制、学习与优化领域的国内外学者与技术人员提供一个学术交流平台，展示最新的理论与技术成果。
经DDCLS组委会综合考量评估决定，由河南大学承办的2024年IEEE第十三届数据驱动控制与学习系统会议（DDCLS’24）将于2024年5月17-19日在河南开封召开。会议旨在为数据驱动控制、学习与优化领域的国内外学者与技术人员提供一个学术交流平台，展示最新的理论与技术成果。会议采用大会报告、专题研讨会、会前专题讲座、分组报告和张贴论文等形式进行交流。
目前，DDCLS组委会正在积极安排各项会议筹备工作，详细的信息正在持续更新中，请各位参会人员密切关注会议网站 https://ddcls24.hnust.edu.cn 及时获取更多的会议信息。
感谢您一直以来对DDCLS会议的关注与支持！期待2024年5月17-19日与您相聚八朝古都！再次感谢您的支持和理解！
目前，DDCLS组委会正在积极安排各项会议筹备工作，详细的信息正在持续更新中，请各位参会人员密切关注会议网站 https://ddcls24.hnust.edu.cn 及时获取更多的会议信息。
感谢您一直以来对DDCLS会议的关注与支持！期待2024年5月17-19日与您相聚八朝古都！再次感谢您的支持和理解！
DDCLS'24组委会
中国自动化学会数据驱动控制、学习与优化专业委员会
2023年8月28日
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.