Robust Reduced Multiple-Model Control Algorithm for Type 1 Diabetic Patients
Type 1 diabetes mellitus (T1DM) systems present a significant challenge for control due to their complexities. While multiple model and model order reduction techniques offer promising solutions, ensuring stability can be difficult. This study proposes a novel algorithm that addresses the robust sta...
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| Published in | Conference proceedings - Canadian Conference on Electrical and Computer Engineering pp. 158 - 159 |
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| Main Authors | , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
06.08.2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2576-7046 |
| DOI | 10.1109/CCECE59415.2024.10667316 |
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| Abstract | Type 1 diabetes mellitus (T1DM) systems present a significant challenge for control due to their complexities. While multiple model and model order reduction techniques offer promising solutions, ensuring stability can be difficult. This study proposes a novel algorithm that addresses the robust stability concern via Lyapunov approach. |
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| AbstractList | Type 1 diabetes mellitus (T1DM) systems present a significant challenge for control due to their complexities. While multiple model and model order reduction techniques offer promising solutions, ensuring stability can be difficult. This study proposes a novel algorithm that addresses the robust stability concern via Lyapunov approach. |
| Author | Haeri, Mohammad Rikhtehgar, Pouya |
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| Snippet | Type 1 diabetes mellitus (T1DM) systems present a significant challenge for control due to their complexities. While multiple model and model order reduction... |
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| StartPage | 158 |
| SubjectTerms | Complexity theory Diabetes Gap metric Linear matrix inequalities Reliability engineering Robust stability Robust stability analysis Robustness Stability analysis Type 1 diabetes mellitus |
| Title | Robust Reduced Multiple-Model Control Algorithm for Type 1 Diabetic Patients |
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