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Mohammed S. Ibbini. (2009) Comparative study of different control techniques for the regulation of blood glucose level in diabetic patients. Journal of Medical Engineering & Technology 33:8, pages 656-662.
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Akshaya Kumar Patra & Girija Sankar Panigrahi. (2023) An adaptive control algorithm for blood glucose regulation in Type-I Diabetes Mellitus patients. Decision Analytics Journal 8, pages 100276.
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Deheng Cai, Wenjing Wu, Marzia Cescon, Wei Liu, Linong Ji & Dawei Shi. (2023) Data-enabled learning and control algorithms for intelligent glucose management: The state of the art. Annual Reviews in Control 56, pages 100897.
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Crossref
Sanjay Kalra, Ambika G. Unnikrishnan, K. M. Prasanna Kumar, Rakesh Sahay, Hemraj B. Chandalia, Banshi Saboo, Sundaram Annamalai, Jothydev Kesavadev, Rishi Shukla, S. K. Wangnoo, Manash P. Baruah, Jubbin Jacob, Saurabh Arora, Rajiv Singla, Suresh K. Sharma, Suresh Damodaran & Ganapathi Bantwal. (2022) Addendum 1: Forum for Injection Technique and Therapy Expert Recommendations, India. Diabetes Therapy 14:1, pages 29-45.
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Akshaya Kumar Patra & Anuja Nanda. (2021) Model Predictive Controller Design based on the Laguerre Functions for Blood Glucose Regulation in TIDM Patient. Journal of The Institution of Engineers (India): Series B 102:2, pages 237-248.
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Akshaya Kumar Patra & Anuja Nanda. (2021) An Automatic Insulin Infusion System Based on Kalman Filtering Model Predictive Control Technique. Journal of Dynamic Systems, Measurement, and Control 143:2.
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Akshaya Kumar Patra, Narayan Nahak, Bidyadhar Rout & Anuja Nanda. 2021. Advances in Intelligent Computing and Communication. Advances in Intelligent Computing and Communication
243
252
.
Akshaya Kumar Patra, Anuja Nanda, Bidyadhar Rout, Dillip Kumar Subudhi & Sanjeeb Kumar Kar. 2021. Green Technology for Smart City and Society. Green Technology for Smart City and Society
355
366
.
Guillermo Edinson Guzman Gómez, Luis Eduardo Burbano Agredo, Veline Martínez & Oscar Fernando Bedoya Leiva. (2020) Application of Artificial Intelligence Techniques for the Estimation of Basal Insulin in Patients with Type I Diabetes. International Journal of Endocrinology 2020, pages 1-8.
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Alireza Mirzaee, Maryam Dehghani & Mohsen Mohammadi. (2020) Robust LPV control design for blood glucose regulation considering daily life factors. Biomedical Signal Processing and Control 57, pages 101830.
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Akshaya Kumar Patra, Anuja Nanda, Alok Kumar Mishra & Lalit Mohan Satapathy. 2020. Advances in Electrical Control and Signal Systems. Advances in Electrical Control and Signal Systems
57
71
.
Akshaya Kumar Patra, Anuja Nanda, Santisudha Panigrahi & Alok Kumar Mishra. 2020. Advances in Intelligent Computing and Communication. Advances in Intelligent Computing and Communication
321
329
.
Mounir Djouima, Ahmad Taher Azar, Saïd Drid & Driss Mehdi. 2019. Biotechnology. Biotechnology
1126
1148
.
Sheraz Ahmad Babar, Iftikhar Ahmad Rana, Muhammad Arslan & Muhammad Waqas Zafar. (2019) Integral Backstepping Based Automated Control of Blood Glucose in Diabetes Mellitus Type 1 Patients. IEEE Access 7, pages 173286-173293.
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Akshaya Kumar Patra & Pravat Kumar Rout. (2018) Backstepping Sliding Mode Gaussian Insulin Injection Control for Blood Glucose Regulation in Type I Diabetes Patient. Journal of Dynamic Systems, Measurement, and Control 140:9.
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Mounir Djouima, Ahmad Taher Azar, Saïd Drid & Driss Mehdi. (2018) Higher Order Sliding Mode Control for Blood Glucose Regulation of Type 1 Diabetic Patients. International Journal of System Dynamics Applications 7:1, pages 65-84.
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Selim SOYLU & Kenan DANIŞMAN. (2018) Blood glucose control using an ABC algorithm-based fuzzy-PID controller. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 26, pages 172-183.
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Akshaya Kumar Patra & Pravat Kumar Rout. (2017) Adaptive sliding mode Gaussian controller for artificial pancreas in TIDM patient. Journal of Process Control 59, pages 13-27.
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Jyoti Yadav, Asha Rani & Vijander Singh. (2016) Performance Analysis of Fuzzy-PID Controller for Blood Glucose Regulation in Type-1 Diabetic Patients. Journal of Medical Systems 40:12.
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Sukanya Manna & Abigail M. Jewkes. (2014) Understanding early childhood obesity risks: An empirical study using fuzzy signatures. Understanding early childhood obesity risks: An empirical study using fuzzy signatures.
Javad Akbari Torkestani & Elham Ghanaat Pisheh. (2014) A learning automata-based blood glucose regulation mechanism in type 2 diabetes. Control Engineering Practice 26, pages 151-159.
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Crossref
Mohamed Al-Fandi, Mohammad A. Jaradat & Yousef Sardahi. (2012) Optimal PID-Fuzzy Logic Controller for type 1 diabetic patients. Optimal PID-Fuzzy Logic Controller for type 1 diabetic patients.
Mohamed Al-Fandi, Mohammad A. Jaradat, Yousef Sardahi, Lina Al-Ebbini & Maysa Khaleel. (2011) Intelligent control of glucose concentration based on an implantable insulin delivery system for type I diabetes. Intelligent control of glucose concentration based on an implantable insulin delivery system for type I diabetes.
E.M. Watson, M.J. Chappell, F. Ducrozet, S.M. Poucher & J.W.T. Yates. (2011) A new general glucose homeostatic model using a proportional-integral-derivative controller. Computer Methods and Programs in Biomedicine 102:2, pages 119-129.
Crossref
Crossref
Levente Kovács, Balázs Benyó, József Bokor & Zoltán Benyó. (2011) Induced L2-norm minimization of glucose–insulin system for Type I diabetic patients. Computer Methods and Programs in Biomedicine 102:2, pages 105-118.
Crossref
Crossref
A. Gyorgy, P. Szalay, Z. Benyo, B. Benyo, A. Kovacs & L. Kovacs. (2010) ANFIS regulated type 1diabetic model for different glucose absorption scenarios. ANFIS regulated type 1diabetic model for different glucose absorption scenarios.
Amjad Abu-Rmileh, Winston Garcia-Gabin & Darine Zambrano. (2010) Internal model sliding mode control approach for glucose regulation in type 1 diabetes. Biomedical Signal Processing and Control 5:2, pages 94-102.
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Crossref
Leon DeJournett. (2010) Essential Elements of the Native Glucoregulatory System, Which, If Appreciated, May Help Improve the Function of Glucose Controllers in the Intensive Care Unit Setting. Journal of Diabetes Science and Technology 4:1, pages 190-198.
Crossref
Crossref
L. Kovacs, A. Gyorgy, B. Benyo, Z. Benyo & A. Kovacs. (2009) Soft computing control of Type 1 diabetes described at molecular levels. Soft computing control of Type 1 diabetes described at molecular levels.
Levente Kovacs, Balazs Kulcsar, Jozsef Bokor & Zoltan Benyo. (2008) Model-based nonlinear optimal blood glucose control of Type I diabetes patients. Model-based nonlinear optimal blood glucose control of Type I diabetes patients.
W. Kenneth Ward, Julia Engle, Heather M. Duman, Colin P. Bergstrom, Sonia F. Kim & Isaac F. Federiuk. (2008) The Benefit of Subcutaneous Glucagon During Closed-Loop Glycemic Control in Rats With Type 1 Diabetes. IEEE Sensors Journal 8:1, pages 89-96.
Crossref
Crossref
Paul Grant. (2007) A new approach to diabetic control: Fuzzy logic and insulin pump technology. Medical Engineering & Physics 29:7, pages 824-827.
Crossref
Crossref
Levente Kovács & Béla Paláncz. 2007. Algebraic Biology. Algebraic Biology
95
109
.