Modelling dynamic response of physical systems in Simulink

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

doi:10.1109/SAIBMEC.2018.8363187

Modelling dynamic response of physical systems in Simulink

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

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

1 Citation (Scopus)

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 language	English
Title of host publication	2018 3rd Biennial South African Biomedical Engineering Conference, SAIBMEC 2018
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781538625163
ISBN (Print)	9781538625170
DOIs	https://doi.org/10.1109/SAIBMEC.2018.8363187
Publication status	Published - 23 May 2018
Event	3rd Biennial South African Biomedical Engineering Conference, SAIBMEC 2018 - Stellenbosch, South Africa Duration: 4 Apr 2018 → 6 Apr 2018

Conference

Conference	3rd Biennial South African Biomedical Engineering Conference, SAIBMEC 2018
Country/Territory	South Africa
City	Stellenbosch
Period	4/04/18 → 6/04/18

Keywords

baroreceptor
dynamic response
Simulink
systems modelling

Access to Document

10.1109/SAIBMEC.2018.8363187

Cite this

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title = "Modelling dynamic response of physical systems in Simulink",

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.",

keywords = "baroreceptor, dynamic response, Simulink, systems modelling",

author = "Smith, \{Kirsten T.\} and David Rubin and Turner, \{Martin J.\}",

year = "2018",

month = may,

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doi = "10.1109/SAIBMEC.2018.8363187",

language = "English",

isbn = "9781538625170",

pages = "1--4",

booktitle = "2018 3rd Biennial South African Biomedical Engineering Conference, SAIBMEC 2018",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "3rd Biennial South African Biomedical Engineering Conference, SAIBMEC 2018 ; Conference date: 04-04-2018 Through 06-04-2018",

}

Smith, KT, Rubin, D & Turner, MJ 2018, Modelling dynamic response of physical systems in Simulink. in 2018 3rd Biennial South African Biomedical Engineering Conference, SAIBMEC 2018. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1-4, 3rd Biennial South African Biomedical Engineering Conference, SAIBMEC 2018, Stellenbosch, South Africa, 4/04/18. https://doi.org/10.1109/SAIBMEC.2018.8363187

Modelling dynamic response of physical systems in Simulink. / Smith, Kirsten T.; Rubin, David; Turner, Martin J.
2018 3rd Biennial South African Biomedical Engineering Conference, SAIBMEC 2018. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 1-4.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Modelling dynamic response of physical systems in Simulink

AU - Smith, Kirsten T.

AU - Rubin, David

AU - Turner, Martin J.

PY - 2018/5/23

Y1 - 2018/5/23

N2 - 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.

AB - 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.

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KW - dynamic response

KW - Simulink

KW - systems modelling

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U2 - 10.1109/SAIBMEC.2018.8363187

DO - 10.1109/SAIBMEC.2018.8363187

M3 - Conference proceeding contribution

AN - SCOPUS:85048402308

SN - 9781538625170

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EP - 4

BT - 2018 3rd Biennial South African Biomedical Engineering Conference, SAIBMEC 2018

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 3rd Biennial South African Biomedical Engineering Conference, SAIBMEC 2018

Y2 - 4 April 2018 through 6 April 2018

ER -

Modelling dynamic response of physical systems in Simulink

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