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ICoCTA 2023 : 2023 4th International Conference on Control Theory and Applications (ICoCTA 2023) | |||||||||||||||
Link: http://www.icocta.org/ | |||||||||||||||
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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: 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 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: https://cmt3.research.microsoft.com/ICOCTA2023 2.Submit Via email directly to: icocta@hksra.org ★CONTACT US Ms.Shirley R. L. Tse Email: icocta@hksra.org Website: https://www.icocta.org/ Call for papers(http://www.icocta.org/cfp.html): 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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