2027年IEEE第十六届数据驱动控制与学习系统会议（DDCLS’27）将于2027年5月7日-10日在山东曲阜召开。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。

        DDCLS会议已连续成功举办15届。会议组委会与各承办单位精心筹备、通力配合，通过精彩的特邀报告、多样的会议形式、丰硕的研究成果及深入的学术交流，不仅为国内外学者与技术员搭建了高水平的学术交流平台，更在数据驱动控制、学习与优化领域的研究中起到巨大的推动作用。DDCLS已经成为国际该领域研究重要的标牌性学术会议，于2022年入选中国科协《重要学术会议指南》以及中国自动化学会A类会议名录。DDCLS’27将持续推进会议的前沿性、规模化和国际化进程，其成功召开必将进一步推动数据驱动控制、学习与优化领域的研究和发展，显著增强该领域在国际学术界的影响力。

        本次会议召开地点—曲阜市，坐落于山东省西南部，作为孔子故里、炎帝旧都、黄帝出生地、少昊之墟、商奄古国、周鲁古都，是国务院首批公布的全国24个历史文化名城之一。曲阜是儒家学派的核心发祥地，境内孔庙、孔府、孔林作为世界文化遗产，承载着两千余年的礼乐规制与诗礼家风。域内凫村为孟子诞生之地，孟母林古柏掩映，留存着“三迁择邻”“断机教子”的母教文脉。东向尼山，可观72米孔子圣像巍峨，溯源圣人生长的山水圣迹；西抵古九州兖州，可登兴隆古塔，探览北朝以来的佛文化遗存；南接邹城，可访孟庙亚圣殿，接续“孔孟道统”的思想脉络。沿线文脉与史迹交相辉映，是齐鲁大地上一处贯通古今、承载华夏精神根脉的文化圣地，因此被称为“东方圣城”，也被西方人誉为“东方的耶路撒冷”。

        DDCLS历届会议收录的英文论文均已进入IEEE Xplore数据库并被EI检索，DDCLS’27会议录用的英文论文经IEEE审核后也将进入IEEE Xplore数据库并送EI检索。DDCLS’27会议征文范围包括但不限于以下范围：

      The 2027 IEEE 16th Data Driven Control and Learning Systems Conference (DDCLS’27) will be held in Qufu, Shandong Province, China, on May 7-10, 2027, jointly organized by Qingdao University and Technical Committee on Data Driven Control System, Asian Control Association, sponsored by IEEE Beijing Section, locally organized by Qufu Normal University.

      The DDCLS conference has been successfully held for 15 consecutive years. Thanks to the meticulous preparation and joint efforts of the Organizing Committee and all host institutions, it has grown into a premier academic platform distinguished by high-quality invited presentations, diversified session formats, fruitful research outputs and in-depth academic interactions. This event not only serves as a high-level international forum for academic and technologists worldwide, but also pioneers new research frontiers in data-driven control, learning, and optimization, significantly elevating world-wide development in this field. DDCLS was officially issued as the Top Academic Conferences by Chinese Association for Science and Technology (CAST) in 2022, and the Category-A Conference List of the Chinese Association of Automation. Looking ahead, DDCLS’27 will further advance its frontier positioning, scale, and globalization. Its successful convening is poised to catalyze breakthroughs in data-driven control, learning, automation and optimization, while substantially enhancing the international academic influence of this discipline.

      The venue for this conference, Qufu City, is located in the southwestern part of Shandong Province. As the hometown of Confucius, Qufu was once the ancient capital of Emperor Yan, the birthplace of the Yellow Emperor, the ruins of Shaohao, the ancient state of Shangyan, and the ancient capital of Zhou-era Lu. This cultural-tourism area encompasses key historical sites: eastward to Nishan, featuring the towering 72-meter Confucius Statue and natural landscapes linked to Confucius’ life; westward to ancient Yanzhou of the Nine Provinces, where Xinglong Pagoda preserves Buddhist relics from the Northern Dynasties; and southward to Zoucheng, with the Mencius Temple and Hall of the Second Sage that embody the Confucian-Mencian ideological heritage. As the birthplace of Confucius—the renowned thinker, educator, and founder of Confucianism in the pre-Qin era-as well as the place where he taught, was buried, and where later generations conducted memorial ceremonies, Qufu is known as the "Holy City of the East" and has also been hailed by Westerners as the "Jerusalem of the East."

      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’27 will cover both theory and applications in all the areas of data driven control and learning systems. The topics of interest include, but 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, data mining and practical applications in automation field

        -- Neural networks, fuzzy systems control methods in data driven manner

        -- Reinforcement learning control, ADP based learning control and learning based control

        -- Robustness of data-driven control

        -- Relationships between data-driven and model-based control methods

        -- Applications of data-driven methods in industrial processes

        -- Data-driven modeling, control, and optimization for complex systems

        -- Data-driven control for practical complex processes

        -- Technologies and applications of complex big-data systems

        -- Big data in industrial processes, and applications in modeling and control

        -- Complex systems and artificial intelligence

    Submission Notices: Full papers (regular or invited) describing original work, extended abstract, invited session proposals should be submitted by December 31, 2026 through the portal http://cms.amss.ac.cn/. Upon acceptance, authors will be required to register and present their papers at DDCLS’25. For further information and submission requirements for manuscript, please refer to the conference website https://ddcls27.cn or contact us via email secretary_ddcls@163.com.