Journal Information
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS)

Call For Papers
The International Journal of Chaos, Control, Modelling and Simulation is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Chaos Theory, Control Systems, Scientific Modelling and Computer Simulation. In the last few decades, chaos theory has found important applications in secure communication devices and secure data encryption. Control methods are very useful in several applied areas like Chaos, Automation, Communication, Robotics, Power Systems, and Biomedical Instrumentation. The journal focuses on all technical and practical aspects of Chaos, Control, Modelling and Simulation. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on chaotic systems and applications, control theory, process control, automation, modelling concepts, computational methods, computer simulation and establishing new collaborations in these areas.

Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Chaos Theory, Control Systems, Modelling and Simulation Techniques.

Areas and subareas of interest 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
    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
    Data mining
    Data Structures and Algorithms
    Scientific computing
    Secure communication devices
    Stochastic modelling and 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
    Robust control
    Soft computing techniques
Last updated by Dou Sun in 2013-10-05
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