{"title":"物理系统在Simulink中的动态响应建模","authors":"K. T. Smith, D. Rubin, M. Turner","doi":"10.1109/SAIBMEC.2018.8363187","DOIUrl":null,"url":null,"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.","PeriodicalId":165912,"journal":{"name":"2018 3rd Biennial South African Biomedical Engineering Conference (SAIBMEC)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modelling dynamic response of physical systems in Simulink\",\"authors\":\"K. T. Smith, D. Rubin, M. Turner\",\"doi\":\"10.1109/SAIBMEC.2018.8363187\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":165912,\"journal\":{\"name\":\"2018 3rd Biennial South African Biomedical Engineering Conference (SAIBMEC)\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 3rd Biennial South African Biomedical Engineering Conference (SAIBMEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAIBMEC.2018.8363187\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 3rd Biennial South African Biomedical Engineering Conference (SAIBMEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAIBMEC.2018.8363187","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modelling dynamic response of physical systems in Simulink
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.