Mathematical and Computer Modelling of Dynamical Systems (MCMDS) publishes high quality international research that presents new ideas and approaches in the derivation, simplification, and validation of models and sub-models of relevance to complex (real-world) dynamical systems.

The journal brings together engineers and scientists working in different areas of application and/or theory where researchers can learn about recent developments across engineering, environmental systems, and biotechnology amongst other fields. As MCMDS covers a wide range of application areas, papers aim to be accessible to readers who are not necessarily experts in the specific area of application.

MCMDS welcomes original articles on a range of topics including:

    methods of modelling and simulation
    automation of modelling
    qualitative and modular modelling
    data-based and learning-based modelling
    uncertainties and the effects of modelling errors on system performance
    application of modelling to complex real-world systems.

Submissions are highly welcome which present:

    new modelling ideas 
    comparison of models and modelling approaches 
    theoretic aspects of modelling 
    papers dealing with complex real-world applications, which present the purpose of the model and the process of model calibration and validation.

Potential authors should note that the focus of MCMDS is on new modelling methods and/or new applications of modelling to complex real-world systems.