Modelling dynamic response of physical systems in Simulink

Kirsten T. Smith, David Rubin, Martin J. Turner

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

    Abstract

    The value of implementing mathematical models in Simulink is demonstrated through an overview of the challenges involved when determining the dynamic response of non-linear systems. This overview is demonstrated by using an example of the baroreceptor nerve (and its response to blood pressure changes) as a non-linear system which can be modelled and simulated in Simulink. The simulated results indicate that a comparison can be made to actual short-term experimental data and simulated data to validate the model. Thereafter, the simulated model can be tested using artificial long-term inputs which infer a non-linear system's dynamic response. This method would be valuable for any research or design where a non-linear physical system's dynamic response would be otherwise experimentally expensive or impossible.

    Original languageEnglish
    Title of host publication2018 3rd Biennial South African Biomedical Engineering Conference, SAIBMEC 2018
    Place of PublicationPiscataway, NJ
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Pages1-4
    Number of pages4
    ISBN (Electronic)9781538625163
    ISBN (Print)9781538625170
    DOIs
    Publication statusPublished - 23 May 2018
    Event3rd Biennial South African Biomedical Engineering Conference, SAIBMEC 2018 - Stellenbosch, South Africa
    Duration: 4 Apr 20186 Apr 2018

    Conference

    Conference3rd Biennial South African Biomedical Engineering Conference, SAIBMEC 2018
    Country/TerritorySouth Africa
    CityStellenbosch
    Period4/04/186/04/18

    Keywords

    • baroreceptor
    • dynamic response
    • Simulink
    • systems modelling

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