Control of Diabetes Mellitus by Advanced Robust Control Solution
The current article investigates the possibilities of designing a robust control solution for a control problem related to type 1 diabetes mellitus. The proposed control methodology exploits linear parameter varying, linear matrix inequality, tensor product model transformation and extended Kalman f...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8819914/ |
| _version_ | 1819174250302406656 |
|---|---|
| author | Levente Kovacs Gyorgy Eigner Mate Siket Laszlo Barkai |
| author_facet | Levente Kovacs Gyorgy Eigner Mate Siket Laszlo Barkai |
| author_sort | Levente Kovacs |
| collection | DOAJ |
| description | The current article investigates the possibilities of designing a robust control solution for a control problem related to type 1 diabetes mellitus. The proposed control methodology exploits linear parameter varying, linear matrix inequality, tensor product model transformation and extended Kalman filtering, four advanced control methods in order to guarantee hard safety control constraints for diabetic patients. In this research we have applied an extension of the minimal model to simulate the glucose-insulin dynamics and the glucose and insulin absorption of a diabetic patient. We have validated our results on numerical simulations by using realistic patient data. During the evaluation we have used randomized glucose intakes both in time and amount (as ”unfavorable” disturbance signals). Furthermore, we did a long-term (30 days) assessment to confirm the stability of the proposed framework. The results have shown that the developed controller effectively intervenes into the process and provides appropriate control action by avoiding hypoglycemia thereby satisfying the predefined quantity and quality requirements. |
| first_indexed | 2024-12-22T20:35:59Z |
| format | Article |
| id | doaj.art-62c49b8715844d26b991a8918fc3b1af |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T20:35:59Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-62c49b8715844d26b991a8918fc3b1af2022-12-21T18:13:27ZengIEEEIEEE Access2169-35362019-01-01712560912562210.1109/ACCESS.2019.29382678819914Control of Diabetes Mellitus by Advanced Robust Control SolutionLevente Kovacs0Gyorgy Eigner1https://orcid.org/0000-0001-8038-2210Mate Siket2Laszlo Barkai3Physiological Controls Research Center, Research, Innovation and Service Center, Óbuda University, Budapest, HungaryPhysiological Controls Research Center, Research, Innovation and Service Center, Óbuda University, Budapest, HungaryPhysiological Controls Research Center, Research, Innovation and Service Center, Óbuda University, Budapest, HungaryDepartment of Paediatrics and Adolescent Medicine, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, Košice, SlovakiaThe current article investigates the possibilities of designing a robust control solution for a control problem related to type 1 diabetes mellitus. The proposed control methodology exploits linear parameter varying, linear matrix inequality, tensor product model transformation and extended Kalman filtering, four advanced control methods in order to guarantee hard safety control constraints for diabetic patients. In this research we have applied an extension of the minimal model to simulate the glucose-insulin dynamics and the glucose and insulin absorption of a diabetic patient. We have validated our results on numerical simulations by using realistic patient data. During the evaluation we have used randomized glucose intakes both in time and amount (as ”unfavorable” disturbance signals). Furthermore, we did a long-term (30 days) assessment to confirm the stability of the proposed framework. The results have shown that the developed controller effectively intervenes into the process and provides appropriate control action by avoiding hypoglycemia thereby satisfying the predefined quantity and quality requirements.https://ieeexplore.ieee.org/document/8819914/Extended Kalman filterlinear matrix inequalitylinear parameter varying-based controltensor product model transformationtype 1 diabetes mellitus |
| spellingShingle | Levente Kovacs Gyorgy Eigner Mate Siket Laszlo Barkai Control of Diabetes Mellitus by Advanced Robust Control Solution IEEE Access Extended Kalman filter linear matrix inequality linear parameter varying-based control tensor product model transformation type 1 diabetes mellitus |
| title | Control of Diabetes Mellitus by Advanced Robust Control Solution |
| title_full | Control of Diabetes Mellitus by Advanced Robust Control Solution |
| title_fullStr | Control of Diabetes Mellitus by Advanced Robust Control Solution |
| title_full_unstemmed | Control of Diabetes Mellitus by Advanced Robust Control Solution |
| title_short | Control of Diabetes Mellitus by Advanced Robust Control Solution |
| title_sort | control of diabetes mellitus by advanced robust control solution |
| topic | Extended Kalman filter linear matrix inequality linear parameter varying-based control tensor product model transformation type 1 diabetes mellitus |
| url | https://ieeexplore.ieee.org/document/8819914/ |
| work_keys_str_mv | AT leventekovacs controlofdiabetesmellitusbyadvancedrobustcontrolsolution AT gyorgyeigner controlofdiabetesmellitusbyadvancedrobustcontrolsolution AT matesiket controlofdiabetesmellitusbyadvancedrobustcontrolsolution AT laszlobarkai controlofdiabetesmellitusbyadvancedrobustcontrolsolution |