Abstract
A robust H∞ controller was developed to deliver insulin via a mechanical pump in Type I diabetic patients. A fundamental nonlinear diabetic patient model was linearized and then reduced to a third-order linear form for controller synthesis. H∞ control was applied for the insulin delivery to prevent the hyperglycemic levels in Type I diabetic patient. Uncertainty in the nonlinear model was characterized by up to ±40% variation in eight physiological parameters. A sensitivity analysis identified the three parameter set having the most significant effect on glucose and insulin dynamics over the frequency range of interest [0.02 0.2](rad/min). This uncertainty was represented in the frequency domain and incorporated in the controller design. The controller performance was assessed in terms of its ability to track a normoglycemic set point(81.1 mg/dL) in response to a 50 g meal disturbance. In the nominal continuous-time case, controller maintained glucose concentrations within ± 3.3 mg/dL of set point. A controller tuned to accommodate uncertainty yielded a maximum deviation of 17.6 mg/dL for the worst-case parameter variation.
| Original language | English |
|---|---|
| Title of host publication | 4th Kuala Lumpur International Conference on Biomedical Engineering 2008, Biomed 2008 |
| Publisher | Springer Verlag |
| Pages | 661-664 |
| Number of pages | 4 |
| Volume | 21 IFMBE |
| Edition | 1 |
| ISBN (Print) | 9783540691389 |
| DOIs | |
| Publication status | Published - 2008 |
| Event | 4th Kuala Lumpur International Conference on Biomedical Engineering 2008, Biomed 2008 - Kuala Lumpur, Malaysia Duration: 25-06-2008 → 28-06-2008 |
Publication series
| Name | IFMBE Proceedings |
|---|---|
| Number | 1 |
| Volume | 21 IFMBE |
| ISSN (Print) | 1680-0737 |
Conference
| Conference | 4th Kuala Lumpur International Conference on Biomedical Engineering 2008, Biomed 2008 |
|---|---|
| Country/Territory | Malaysia |
| City | Kuala Lumpur |
| Period | 25-06-08 → 28-06-08 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Biomedical Engineering
- Bioengineering
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