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 contribution

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
CountrySouth Africa
CityStellenbosch
Period4/04/186/04/18

Keywords

  • baroreceptor
  • dynamic response
  • Simulink
  • systems modelling

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  • Cite this

    Smith, K. T., Rubin, D., & Turner, M. J. (2018). Modelling dynamic response of physical systems in Simulink. In 2018 3rd Biennial South African Biomedical Engineering Conference, SAIBMEC 2018 (pp. 1-4). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/SAIBMEC.2018.8363187