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ICoCTA 2023 : 2023 4th International Conference on Control Theory and Applications (ICoCTA 2023)


When Oct 20, 2023 - Oct 22, 2023
Where Xiamen, Fujian, China
Submission Deadline Sep 10, 2023
Notification Due Sep 10, 2023
Final Version Due Sep 10, 2023
Categories    control theory   applications

Call For Papers

★2023 4th International Conference on Control Theory and Applications (ICoCTA 2023)-- Ei Compendex & Scopus—Call for paper 
October 20-22, 2023|Xiamen, Fujian, China|Website:

★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
Accepted and presented papers of ICoCTA 2023 will be published in the digital conference proceeding, which will be submitted to Ei Compendex, Scopus, CPCI, Google Scholar, and other major databases for index.
Selected Papers from ICoCTA 2023 will be recommended to be submitted for publication in journal.

★Keynote Speakers
Prof. Jean-Michel Coron, Sorbonne Université, France

★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
1.Submit Via CMT:
2.Submit Via email directly to:

Ms.Shirley R. L. Tse

Call for papers(
The topics of interest include, but are not limited to:
Adaptive Control
Game Theory
Analysis and Control of Nonlinear Systems
Industrial Applications
Analysis, Control and Identification of Distributed Parameter Systems
Intelligent Computational Systems
Autonomous systems
Intelligent Control Systems And Optimization
Autonomy in robotic systems
Learning and Estimation in Control
Biologically inspired system modeling, control and simulation
Machine learning and artificial intelligence in robotic systems
Cloud computing for automation
Modeling, Estimation, and Control of Large Scale Systems
Computational Issues in Nonlinear Control and Optimization
Networked and Embedded Controls
Control for Unmanned Autonomous Vehicles
Nonlinear Estimation and Data Assimilation
Control of Biological Systems
Optimization in Control and Systems Theory
Control of Hybrid Systems
Process modeling, analysis, mining and optimization in intelligent automation
Control of Networks
Quantum Control, Estimation, and Filtering
Control of Power Systems and Smart Grid
Risk Sensitive Control
Control of Smart Material Systems
Robotics and Control
Control Techniques for Financial Mathematics
Robust Control
Cooperative Control
Semantic techniques in intelligent automation
Data driven modeling and operational automation
Stochastic Control
Deep learning in Autonomous systems
System Identification
Fluid Flow Control

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