2024 4th International Conference on Control Theory and Applications (ICoCTA 2024)

ICoCTA 2024


Computing Systems Artificial Intelligence Automation & Control Theory



2024 4th International Conference on Control Theory and Applications (ICoCTA 2024)-- Ei Compendex & Scopus—Call for paper



October 18-20, 2024Hangzhou, Fujian, ChinaWebsite: 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