2022 3rd International Conference on Control Theory and Applications (ICoCTA 2022)

2022 International Conference on Control Theory and Applications (ICoCTA 2022) will be held at Chengdu, China on June. 10-12, 2022. ICoCTA 2022 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

Accepted and presented papers of ICoCTA 2022 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 2022 will be recommended to be submitted for publication in journal.

Important Dates

Abstract Submission: Feb 15, 2022
Full Submission: Feb.25, 2022
Author Notification: Mar 15, 2022
Final Version: Mar 29, 2022
Registration: Mar 29, 2022
Main Conference: June. 10-12, 2022

Submission

Please submit your paper to: icocta@hksra.org or submit via Online Submission System

All submitted papers need to be original, must not be previously published or accepted for publication elsewhere, must not be under review by any other conference or publication during the review cycle.

All submitted papers will go through a double-blind reviewing process by at least two reviewers designated by the chairs of committees, also if you don’t want to publish any paper, you are welcome to join us as a presenter, listener, etc.

Topics of interest

Adaptive ControlGame Theory
Analysis and Control of Nonlinear SystemsIndustrial Applications
Analysis, Control and Identification of Distributed Parameter SystemsIntelligent Computational Systems
Autonomous systemsIntelligent Control Systems And Optimization
Autonomy in robotic systemsLearning and Estimation in Control
Biologically inspired system modeling, control and simulationMachine learning and artificial intelligence in robotic systems
Cloud computing for automationModeling, Estimation, and Control of Large Scale Systems
Computational Issues in Nonlinear Control and OptimizationNetworked and Embedded Controls
Control for Unmanned Autonomous VehiclesNonlinear Estimation and Data Assimilation
Control of Biological SystemsOptimization in Control and Systems Theory
Control of Hybrid SystemsProcess modeling, analysis, mining and optimization in intelligent automation
Control of NetworksQuantum Control, Estimation, and Filtering
Control of Power Systems and Smart GridRisk Sensitive Control
Control of Smart Material SystemsRobotics and Control
Control Techniques for Financial MathematicsRobust Control
Cooperative ControlSemantic techniques in intelligent automation
Data-driven modeling and operational automationStochastic Control
Deep learning in Autonomous systemsSystem Identification
Fluid Flow Control
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