Excellence in Research and Innovation for Humanity

ICCMS 2017 : 19th International Conference on Chaos, Control, Modelling and Simulation

Kyoto, Japan
November 16 - 17, 2017

Call for Papers

The ICCMS 2017 : 19th International Conference on Chaos, Control, Modelling and Simulation is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Chaos, Control, Modelling and Simulation. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:
  • Adaptive control
  • Advanced chaos theory
  • Advanced computing techniques
  • Algorithms, modelling and simulation
  • Applications of chaos in science and engineering
  • Artificial intelligence
  • Artificial neural networks
  • Automation and mobile robots
  • Bioinformatics
  • Biological modelling
  • Biological systems and models
  • Chaotic systems
  • Chaos modelling
  • Circuit realization of chaotic systems
  • Control of chaotic systems
  • Cloud computing
  • Communication engineering
  • Computational biology
  • Computational fluid dynamics
  • Computer science
  • Control devices & instruments
  • Control theory
  • Control theory
  • Data Structures and Algorithms
  • Scientific computing
  • Secure communication devices
  • Stochastic modelling and control
  • Soft computing techniques
  • Robust control
  • Data visualization
  • Digital control
  • Digital image processing
  • Digital signal processing
  • Dynamical systems and stability theory
  • Embedded systems and control
  • Evolutionary techniques in engineering
  • Flight control and surveillance systems
  • Fuzzy logic control
  • Genetic algorithms and applications
  • Hyperchaotic systems
  • Industrial applications of control
  • Intelligent systems
  • Information theory
  • Linear and nonlinear programming
  • Linear control theory
  • Materials science
  • Mathematical control theory
  • Mathematical modelling and applications
  • Measurement systems
  • Modelling and control
  • Nonlinear control theory
  • Numerical methods in control systems
  • Optimization and optimal control
  • Parallel computing
  • Process control and automation
  • Real-time systems
  • Real and complex analysis