May 14-16, 2021, the 10th IEEE Data-Driven Control and Learning System Conference, co-sponsored by the Data-Driven Control, Learning and Optimization Professional Committee of the Chinese Society of Automation and Qingdao University, hosted by the University of Science and Technology of Suzhou, and co-organized by the IEEE Beijing Branch (2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS'21) was successfully held in Tongli Lake Hotel, Suzhou, Jiangsu. The conference attracted 470 well-known experts, scholars and representatives in this field. The DDCLS’21 conference includes a special invitation report, a young scholars forum report, a panel discussion, a pre-conference lecture, an industrial control practice forum, and a group report. A "Laoshan Academic Forum" was held at the same time. A total of 305 papers including long abstracts were accepted for this conference, and the number and quality of the papers reached new heights.

Picture 1: Opening Ceremony of DDCLS’21 Conference

Picture 2: Conference venue

The opening ceremony of the DDCLS’21 conference was presided over by Professor Wang Jing, the chairman of the conference organizing committee and the deputy secretary-general of the special committee. Professor Jiang Pengming, President of Suzhou University of Science and Technology, and Ni Zhiqiang, vice chairman of Suzhou Association for Science and Technology, respectively delivered welcome speeches. Director of Chinese Society of Automation, Chairman of the Conference, Director of Special Committee, and Professor Hou Zhongsheng of Qingdao University delivered opening speeches.

The topic of the pre-conference lecture on the afternoon of May 14 was "Progress and Application of Model-Free Adaptive Control". The speakers included Professor Hou Zhongsheng from Qingdao University, Associate Professor Jin Shangtai from Beijing Jiaotong University, Professor Bu Xuhui from Henan University of Technology, and Chi from Qingdao University of Science and Technology. Professor Rong Hu, Professor Pang Zhonghua of North China University of Technology and Associate Professor Weng Yongpeng of Dalian Maritime University.

On May 15th, 4 conference special lectures and panel discussions were arranged in the form of online and offline mixed. Specially invited lectures at the conference are "Application and Development Trends of Key Technologies for Multi-robot Collaboration" brought by Academician Wang Yaonan of Hunan University, and "Control of linear systems subject to actuator saturation: from model-based design to" by Professor Zongli Lin from the University of Virginia. Reinforcement learning control", "High-speed train traction drive system fault diagnosis, prediction and fault-tolerant control technology" brought by Professor Jiang Bin, Vice President of Nanjing University of Aeronautics and Astronautics, and "Digital Twins for Distributed Fault" brought by Professor Thomas Parisini from Imperial College London Detection in the Process Industry".

The panel discussion with the theme "Big Data and Control Science under Artificial Intelligence" was hosted by Professor Hou Zhongsheng. Academician Wang Yaonan, Professor Jiang Bin, Professor Wang Chenghong, Vice Chairman of the Chinese Society of Automation, and Professor Wang Long from Peking University were invited to give keynote speeches. , And answered hot issues in the field that everyone cares about.

Picture 3: Invited report, panel discussion

In the afternoon, the Young Scholars Forum invited 5 data-driven control and learning systems, including Professor Xiao He from Tsinghua University, Professor Wu Zhengguang from Zhejiang University, Professor Li Hongyi from Guangdong University of Technology, Professor Plenipotentiary Professor from Beihang University and Professor Wang Yalin from Central South University. Outstanding young scholars in the country give reports.

Picture 4: Young Scholar Forum Report

On the morning of May 16th, the Industrial Control Practice Forum invited three young engineering practice experts, including Associate Professor Zhu Yuanming, Associate Researcher Yang Minglei of East China University of Science and Technology, and Researcher Chen Hao of the Haixi Research Institute of the Chinese Academy of Sciences to address the problems and problems encountered in the industrial control field. Report on the latest work.

The "Laoshan Academic Forum-Frontiers of Artificial Intelligence and Automation" held at the same time was a high-end forum hosted by the special committee. This issue invited Professor Wang Chenghong, Professor Wang Long, Professor Zhang Lin from Beijing University of Aeronautics and Astronautics, Professor Zhang Weidong from Shanghai Jiaotong University, Associate Professor Jia Yongnan from the University of Science and Technology Beijing, Professor Chen Xiaojie from the University of Electronic Science and Technology of China, Professor Xiao Feng from North China Electric Power University and Professor Yu Wensheng from Beijing University of Posts and Telecommunications gave lectures and conducted warm and in-depth academic exchanges with participants.

Picture 5: Laoshan Academic Forum

All the papers included in the DDCLS’21 conference were exchanged in 33 oral presentation groups and 2 paper posting groups.

Picture 6: Paper posting site

At the closing ceremony of the conference on May 16, the Deputy Secretary-General of the Special Committee and Professor Dong Shen of Renmin University of China summarized DDCLS'21. Professor Huang Deqing, on behalf of the next DDCLS conference organizer, Southwest Jiaotong University, introduced the preparation in Emei, Sichuan The relevant situation of the DDCLS'22 meeting.

Wonderful specially invited reports, fruitful research results, in-depth academic exchanges, and diverse conference content all contributed to the success of the DDCLS’21 conference. In the context of the new era of big data and artificial intelligence, this conference not only enhanced the mutual exchange and understanding of experts in related fields, broadened the academic horizons of young scholars, but also guided new developments in the field of data-driven control, learning and optimization. The direction has made positive contributions to enhancing my country’s research and development strength in this research field, strengthening international cooperation and improving international academic influence.

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