Introduction

The 2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS’22), an annual conference organized by technical committee on Data Driven Control, Learning and Optimization, Chinese Association of Automation. will be held in Emeishan, Sichuan Province, China, on May 13-15, 2022. The aim of DDCLS’22 is to provide an academic exchange platform to share latest theory and technological results in the fields of data-driven control, learning, automation and optimization for scholars and technical personnel from both home and abroad. The conference includes  conference lectures, seminars, pre-conference lectures, group lectures and posted papers for exchanges.

DDCLS has been held successfully for 10 years. In recent years, the 7th in Enshi in 2018, the 8th in Dali in 2019, the 9th in Liuzhou in 2020, and the 10th in Suzhou in 2021 have invited prestigious scholars to give lectures, including Professor Frank Allgöwer from University of Stuttgart, Professor Alessandro Astolfi from Imperial College London, Professor Chen Benmei from the Chinese University of Hong Kong, Professor Liu Derong from Guangdong University of Technology, Professor Marios M. Polycarpou from University of Cyprus, Professor Cesare Alippi from Politecnico di Milano, Professor Yang Guanghong from Northeastern University, Professor Steven X. Ding from University of Duisburg-Essen, Professor Håkan Hjalmarsson from KTH Royal Institute of Technology, Qian Feng, Academician of East China University of Science and Technology, Academician Wang Yaonan from Hunan University, Professor Jiang Bin from Nanjing University of Aeronautics and Astronautics, Professor Zongli Lin from the University of Virginia, Professor Thomas Parisini from Imperial College London and so forth. The DDCLS’22 conference will be more scaled and internationalized, and strive to create an influential international academic exchange platform to promote the academic influence of China's data-driven control, learning and optimization fields at home and abroad, as well as its healthy development in China.

Located in the west of Leshan City of Sichuan Basin, Emeishan City has a history of more than 2,600 years. It was part of the ancient Shu Kingdom and was renamed Emei County in the third year of Kaihuang reign in Sui Dynasty.  Moreover, Mount Dae and Mount Er’e are relatively like eyebrows, hence the name Emiehsan, which is praised as the "Emei Mountain with uncomparable beauty ". Mount Emei is a world cultural and natural heritage, a national AAAAA-level scenic spot, and one of the four famous Buddhist mountains in China. For thousands of years, the three cultures of Confucianism, Taoism, and Buddhism have collided, merged, and evolved here, forming the Emeishan culture centered on Buddhism, martial arts, and tea. There are currently 3 national key cultural relics protection units and 1 national intangible cultural heritage. In April 2019, it was selected as the first batch of Tianfu tourist counties. In October 2020, it was awarded the fourth batch of national ecological civilization construction demonstration cities. Welcome to Sichuan Emei!

Sponsor Type:3; 9; 9

Call for paper

Important date

2022-01-31
Draft paper submission deadline
2022-02-28
Draft paper acceptance notification
2022-03-31
Final paper submission deadline

Submission Topics

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 

Guidlines

Submission Notices: Full papers (regular or invited) describing original work, extended abstract, invited session proposals should be submitted by January 31, 2022 (extended) through the portal http://cms.amss.ac.cn/. Upon acceptance, authors will be required to register and present their papers at DDCLS’22. For further information and submission requirements for manuscript, please refer to the conference website http://ddcls22.huicekeji.com or contact us via email isst@swjtu.edu.cn.

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Important Date
  • Conference Date

    May 13

    2022

    to

    May 15

    2022

  • Jan 31 2022

    Draft paper submission deadline

  • Feb 28 2022

    Draft Paper Acceptance Notification

  • Mar 31 2022

    Final Paper Deadline

Sponsored By
Beijing Section
Chinese Association of Automation
Southwest Jiaotong University