ICoCTA 2020 : 2020 International Conference on Control Theory and Applications (ICoCTA 2020)

★2020 International Conference on Control Theory and Applications (ICoCTA 2020)-- Ei Compendex & Scopus—Call for paper 
February 14-16, 2020｜Sydney, Australia｜Website: http://www.icocta.org/

★ICoCTA 2020 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.

★Program Preview/ Program at a glance
February 14: Registration + Icebreaker Reception
February 15: Opening Ceremony+ KN Speech+ Technical Sessions
February 16: Technical Sessions+ Half day tour/Lab tours

★Paper Submission
1.PDF version submit via CMT: https://cmt3.research.microsoft.com/ICOCTA2020
2.Submit Via email directly to: [email protected]

★CONTACT US
Ms. Anna H. M. Wong
Email: [email protected]
Website: http://www.icocta.org/

Call for papers(http://www.icocta.org/cfp.html):

Adaptive Control
Analysis and Control of Nonlinear Systems
Analysis, Control and Identification of Distributed Parameter Systems
Autonomous systems
Autonomy in robotic systems
Biologically inspired system modeling, control and simulation
Cloud computing for automation
Computational Issues in Nonlinear Control and Optimization
Control for Unmanned Autonomous Vehicles
Control of Biological Systems
Control of Hybrid Systems
Control of Networks
Control of Power Systems and Smart Grid
Control of Smart Material Systems
Control Techniques for Financial Mathematics
Cooperative Control
Data driven modeling and operational automation
Deep learning in Autonomous systems
Fluid Flow Control
Game Theory
Industrial Applications
Intelligent Computational Systems
Intelligent Control Systems And Optimization
Learning and Estimation in Control
Machine learning and artificial intelligence in robotic systems
Modeling, Estimation, and Control of Large Scale Systems with Massive Amounts of Data
Networked and Embedded Controls
Nonlinear Estimation and Data Assimilation
Optimization in Control and Systems Theory
Process modeling, analysis, mining and optimization in intelligent automation
Quantum Control, Estimation, and Filtering
Risk Sensitive Control
Robotics and Control
Robust Control
Semantic techniques in intelligent automation
Stochastic Control
System Identification