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Key deadlines

Conference starts:

2024-10-18

Paper Registration by:

2024-09-18

Paper Submission for Revision by:

2024-09-18

Paper Acceptance Notification by:

2024-09-18

Paper Final Submission by:

2024-09-18

Website

Visit the conference website

Conference Description

★2024 4th International Conference on Control Theory and Applications (ICoCTA 2024)-- Ei Compendex & Scopus—Call for paper
October 18-20, 2024｜Hangzhou, Fujian, China｜Website: https://www.icocta.org/
★ICoCTA 2024 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 2024 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 2024 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 18: Registration + Icebreaker Reception
October 19: Opening Ceremony+ KN Speech+ Technical Sessions
October 20: Technical Sessions+ Half day tour/Lab tours

★Paper Submission
Submit Via CMT: https://cmt3.research.microsoft.com/ICOCTA2024

★CONTACT US
Ms. Riva H. W. Wong
Email: inquiry@icocta.org
Website: https://www.icocta.org/

★Topics of Interest
Adaptive Systems
Linear Systems
Mechatronics
Automation
Aerospac 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