Description

Data Driven Control and Learning Systems Conference (DDCLS) is an annual conference organized by Technical Committee on Data Driven Control, Learning and Optimization, Chinese Association of Automation. The 6th Data Driven Control and Learning Systems Conference (DDCLS'17) will be held in Chongqing, China, May 26-27, 2017, sponsored by IEEE Beijing Section and IEEE Industrial Electronics Society, and locally organized by Chongqing Jiaotong University.

In the last two DDCLS conferences, DDCLS’15, Beijing and DDCLS’16, Yinchuan, a lot of renowned scholars from different countries were invited to deliver plenary lectures, for example, Prof. Frank L. Lewis from University of Texas at Arlington, Prof. Jian-Xin Xu from National University of Singapore, Prof. Tianyou Chai from Northeastern University and Prof. Feiyue Wang from Chinese Academy of Sciences. DDCLS’s purpose is to create a forum for scientists, engineers and practitioners throughout the world to present the latest developments in data-driven control, learning, automation and optimization.

Call for paper

Important Dates

Draft paper submission deadline:2016-12-30

Topics of submission

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

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Contact information

  • chekyin@bjtu.edu.cn

Sponsored By

  • Edith Cowan University

Organized By

  • Chongqing jiaotong university