★2020 Asia-Pacific Conference on Control Theory and Computer Modelling (CCTCM 2020)--Ei Compendex & Scopus—Call for paper 
February 17-19, 2020｜Sydney, Australia｜Website: http://www.apcctcm.org/

★Venue: Metro Aspire Hotel Sydney, Sydney, Australia

★CCTCM 2020 provides researchers and industry experts with one of the best platforms to meet and discuss groundbreaking research and innovations in the field of Control Theory and Computer Modelling. 
International invited speakers are invited to present their state-of-the-art work on various aspects, which will highlight important and developing areas.

★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.Qing-Long Han, Swinburne University of Technology, Melbourne, Australia
Prof. Zhihong Man, Swinburne University of Technology, Australia

★Program Preview/ Program at a glance
February 17: Registration + Icebreaker Reception
February 18: Opening Ceremony+ KN Speech+ Technical Sessions
February 19: Technical Sessions+ Half day tour/Lab tours

★Paper Submission
1.PDF version submit via CMT: https://cmt3.research.microsoft.com/CCTCM2020
2.Submit Via email directly to: cctcm@hksra.org

★CONTACT US
Ms. Anna H. M. Wong
Email: cctcm@hksra.org
Website: http://www.apcctcm.org/

Call for papers(http://www.apcctcm.org/cfp.html):
Adaptive control
Agriculture, environment, health applications
Applications of modelling in science and engineering
Computer modelling
Control theory
Digital control
Embedded systems
Fault detection and isolation
Feedback control
Genetic algorithms and evolutionary computing
Hybrid systems
Industry, military, space applications
Linear and nonlinear control systems
Mathematical modelling
Model predictive control
Networked control systems
Neural networks and fuzzy logic
Numerical analysis and scientific computing
Optimization and optimal control
Process control and instrumentation
Real-time issues
Robust control
Scientific computing
Sliding mode control
Soft computing and control
Stochastic control and filtering
System identification and control
Systems and automation