★2021 2nd International Conference on Control Theory and Applications (ICoCTA 2021)-- Ei Compendex & Scopus—Call for paper 
June 18-20, 2021｜Chengdu, China｜Website: http://www.icocta.org/

★ICoCTA 2021 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 papers will be published in the digital conference proceedings which will be sent to be Indexed by  all major citation databases such as Ei Compendex, SCOPUS, Google Scholar, Cambridge Scientific Abstracts (CSA), Inspec, SCImago Journal & Country Rank (SJR), EBSCO, CrossRef,  Thomson Reuters (WoS), etc. 
A selection of papers will be recommended to be published in international journals.

★Keynote Speakers
Prof. Romeo Ortega, Laboratoire de Signaux et Systemes (SUPELEC), France
Prof. Petros Ioannou, University of Southern California, USA
Prof. YangQuan Chen, MESA Lab of University of California, USA

★Program Preview/ Program at a glance
June 18: Registration + Icebreaker Reception
June 19: Opening Ceremony+ KN Speech+ Technical Sessions
June 20: Technical Sessions+ Half day tour/Lab tours

★Paper Submission
1. Submit Via CMT: https://cmt3.research.microsoft.com/ICOCTA2021
2.Submit Via email directly to: icocta@hksra.org

★CONTACT US
Ms.Shirley R. L. Tse
Email: icocta@hksra.org
Website: http://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