Computer Modeling and Simulation of Dynamic Systems Using Wolfram SystemModeler

Kirill Rozhdestvensky, Vladimir Ryzhov, Tatiana Fedorova, Kirill Safronov, Nikita Tryaskin, Shaharin Anwar Sulaiman, Mark Ovinis, Suhaimi Hassan

    Research output: Book/ReportBookpeer-review

    4 Citations (SciVal)


    At present, to study complex processes and systems, along with a full-scale experiment, a computational experiment is used—a methodology based on the application of applied mathematics and computer technology, combining the advantages of both theory and experiment. A computational experiment has a number of indisputable advantages over a full-scale one. The main specificity of the computational experiment (computer simulation) is the ability to virtually predict the properties of the object being modeled, depending on the various conditions of its operation and variable design parameters. In addition, for the study of complex objects and systems, computational experiment is less expensive, and its implementation requires significantly less time. In addition, it can predict the results of critical tests, which may, in reality, lead to the loss of the full-scale object under investigation. A computational experiment …
    Original languageEnglish
    PublisherSpringer Singapore
    Number of pages263
    ISBN (Electronic)9789811528033
    ISBN (Print)9789811528026
    Publication statusPublished (VoR) - 20 Mar 2020


    • Connected pendulum
    • Double pendulum
    • Dual torsion oscillator
    • Dynamic system modeling
    • Mathematical pendulum
    • Mechanical oscillatory systems
    • Modelica language
    • Modeling complex systems
    • Multi-component models
    • Newton’s laws
    • Wolfram systemmodeler


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