ICOCTA 2023 - 2023 3rd International Conference on Control Theory and Applications (ICoCTA 2023)

Website https://www.icocta.org/ | Edit Freely

Category Control Theory ; Applications

Deadline: September 20, 2023 | Date: October 20, 2023-October 22, 2023

Venue/Country: Xiamen, Fujian, China, China

Updated: 2023-08-11 14:32:40 (GMT+9)

Call For Papers - CFP

October 20-22, 2023｜Xiamen, Fujian, China｜Website: https://www.icocta.org/

★ICoCTA 2023 welcomes researchers, engineers, scientists and industry professionals to an open forum where advances in the field of Control Theory and Applications can be shared and examined. The conference is an ideal platform for keeping up with advances and changes to a consistently morphing field. Leading researchers and industry experts from around the globe will be presenting the latest studies through papers and oral presentations.

★Publication and Indexing

All accepted and presented papers of ICoCTA 2023 will be published in IET Conference Proceedings (ISSN: 2732-4494), which will be sent to be reviewed and indexed by major citation databases such as EI Compendex, etc.

Excellent Papers from ICoCTA 2023 will be recommended to be submitted for publication in journal.

★Keynote Speakers

Prof. Minyue Fu——Southern University of Science and Technology, China

Prof. Yongduan Song——Chongqing University, China

Prof. Xiang Chen——University of Windsor, Canada

★Program Preview/ Program at a glance

October 20: Registration + Icebreaker Reception

October 21: Opening Ceremony+ KN Speech+ Technical Sessions

October 22: Technical Sessions+ Half day tour/Lab tours

★Paper Submission

Submit Via CMT: https://cmt3.research.microsoft.com/ICOCTA2023

★CONTACT US

Ms.Shirley R. L. Tse

Email: icoctahksra.org

Website: https://www.icocta.org/

★Topics of Interest

Adaptive Systems

Linear Systems

Mechatronics

Automation

Aerospace Systems

Cognitive Control

Control Applications

Control in Manufacturing and Production

Decentralized Control

Robotics

Robust Control

Signal Processing

Stochastic Systems

System Identification

Uncertain Systems

Intelligent Systems

Learning Systems