{"title":"用预测控制器和延迟微分方程控制糖尿病患者血糖水平","authors":"Mojgan Esna Ashari, M. Zekri, M. Askari","doi":"10.1109/KBEI.2015.7436082","DOIUrl":null,"url":null,"abstract":"Diabetes is known as the sixth leading cause of death in the world leading to kidney and cardiovascular diseases as well. As a result, controlling the disease is of particular importance. To control blood glucose level in diabetes mellitus type I, insulin must be injected into the body. This injection must be strictly controlled - any excessive increase in insulin injection can cause human death. Various controllers have been introduced to control diabetes type I with their own disadvantages. Diabetic patient model used in previous methods is not in compliance with physiological data, uncertainties are not considered in the model, or the controller has a very limited range of stability. In this paper, a Nonlinear Model Predictive Controller is introduced which not only resolves previous problems like lack of consideration of model uncertainty, sharp drop in blood glucose, and low stability, but also specifies insulin injection dosage based on blood glucose level momentarily so that.","PeriodicalId":168295,"journal":{"name":"2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Control of the blood glucose level in diabetic patient using predictive controller and delay differential equation\",\"authors\":\"Mojgan Esna Ashari, M. Zekri, M. Askari\",\"doi\":\"10.1109/KBEI.2015.7436082\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Diabetes is known as the sixth leading cause of death in the world leading to kidney and cardiovascular diseases as well. As a result, controlling the disease is of particular importance. To control blood glucose level in diabetes mellitus type I, insulin must be injected into the body. This injection must be strictly controlled - any excessive increase in insulin injection can cause human death. Various controllers have been introduced to control diabetes type I with their own disadvantages. Diabetic patient model used in previous methods is not in compliance with physiological data, uncertainties are not considered in the model, or the controller has a very limited range of stability. In this paper, a Nonlinear Model Predictive Controller is introduced which not only resolves previous problems like lack of consideration of model uncertainty, sharp drop in blood glucose, and low stability, but also specifies insulin injection dosage based on blood glucose level momentarily so that.\",\"PeriodicalId\":168295,\"journal\":{\"name\":\"2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI)\",\"volume\":\"96 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/KBEI.2015.7436082\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KBEI.2015.7436082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Control of the blood glucose level in diabetic patient using predictive controller and delay differential equation
Diabetes is known as the sixth leading cause of death in the world leading to kidney and cardiovascular diseases as well. As a result, controlling the disease is of particular importance. To control blood glucose level in diabetes mellitus type I, insulin must be injected into the body. This injection must be strictly controlled - any excessive increase in insulin injection can cause human death. Various controllers have been introduced to control diabetes type I with their own disadvantages. Diabetic patient model used in previous methods is not in compliance with physiological data, uncertainties are not considered in the model, or the controller has a very limited range of stability. In this paper, a Nonlinear Model Predictive Controller is introduced which not only resolves previous problems like lack of consideration of model uncertainty, sharp drop in blood glucose, and low stability, but also specifies insulin injection dosage based on blood glucose level momentarily so that.