{"title":"脑-机-体接口CPS方法的时空分形模型","authors":"Yuankun Xue, Saul Rodriguez, P. Bogdan","doi":"10.3850/9783981537079_0502","DOIUrl":null,"url":null,"abstract":"Capturing the mathematical features of physical and cyber processes is essential for endowing the CPS with built-in intelligence. In this paper, we develop a compact yet accurate mathematical model able to capture the spatio-temporal fractal cross-dependencies between coupled processes and illustrate its benefits within the context of brain-machine-body interface. Our generalized mathematical model improves the modeling accuracy of the dynamics of biological processes and is validated against medical observations.","PeriodicalId":311352,"journal":{"name":"2016 Design, Automation & Test in Europe Conference & Exhibition (DATE)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"58","resultStr":"{\"title\":\"A spatio-temporal fractal model for a CPS approach to brain-machine-body interfaces\",\"authors\":\"Yuankun Xue, Saul Rodriguez, P. Bogdan\",\"doi\":\"10.3850/9783981537079_0502\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Capturing the mathematical features of physical and cyber processes is essential for endowing the CPS with built-in intelligence. In this paper, we develop a compact yet accurate mathematical model able to capture the spatio-temporal fractal cross-dependencies between coupled processes and illustrate its benefits within the context of brain-machine-body interface. Our generalized mathematical model improves the modeling accuracy of the dynamics of biological processes and is validated against medical observations.\",\"PeriodicalId\":311352,\"journal\":{\"name\":\"2016 Design, Automation & Test in Europe Conference & Exhibition (DATE)\",\"volume\":\"138 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"58\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Design, Automation & Test in Europe Conference & Exhibition (DATE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3850/9783981537079_0502\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Design, Automation & Test in Europe Conference & Exhibition (DATE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3850/9783981537079_0502","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A spatio-temporal fractal model for a CPS approach to brain-machine-body interfaces
Capturing the mathematical features of physical and cyber processes is essential for endowing the CPS with built-in intelligence. In this paper, we develop a compact yet accurate mathematical model able to capture the spatio-temporal fractal cross-dependencies between coupled processes and illustrate its benefits within the context of brain-machine-body interface. Our generalized mathematical model improves the modeling accuracy of the dynamics of biological processes and is validated against medical observations.
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