Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Mate Siket"'
Publikováno v:
IEEE Access, Vol 9, Pp 143549-143563 (2021)
The state and disturbance estimations are an indispensable part of the state-of-the-art model-based controllers as related to the artificial pancreas, supporting the decision-making and self-tuning of the algorithms. They are not just important when
Externí odkaz:
https://doaj.org/article/8b2bbb8ea0634ae48a9aaa5d1b25554e
Publikováno v:
IEEE Access, Vol 7, Pp 125609-125622 (2019)
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
Externí odkaz:
https://doaj.org/article/62c49b8715844d26b991a8918fc3b1af
Autor:
Lehel Denes-Fazakas, Mate Siket, Gabor Kertesz, Laszlo Szilagyi, Levente Kovacs, Gyorgy Eigner
Publikováno v:
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Publikováno v:
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Publikováno v:
2022 IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics (SISY).
Autor:
Erzsebet Nagy, Bence Czako, Mate Siket, Balazs Gombos, Andras Furedi, Gergely Szakacs, Levente Kovacs, Daniel Andras Drexler
Publikováno v:
2022 IEEE 10th Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems (ICCC).
Publikováno v:
IFAC-PapersOnLine. 54:293-298
Receding Horizon Control (RHC), also known as Model Predictive Control (MPC) is one of the most intensively researched areas of control algorithms applied in the artificial pancreas concept. Nevertheless, MPC algorithms have not yet been implemented
Automatically estimated meals in Model Predictive Control-Moving Horizon Estimation control strategy
Publikováno v:
2022 13th Asian Control Conference (ASCC).
Publikováno v:
IFAC-PapersOnLine. 53:16227-16232
Observers are essential in artificial pancreas systems, either for states or disturbance estimation. Kalman filters based on the Hovorka model are largely applied for this purpose. However, simpler approaches can be used too. We intend to analyze whe
Publikováno v:
2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI).