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Abstract
In this paper, an adaptive fuzzy controller is presented to regulate the glucose level in type-1 diabetic patients. The dynamics of the glucose-insulin are estimated by the type-2 fuzzy systems. The parameters of the type-2 fuzzy systems are adjusted based on the adaptation laws that are obtained from the Lyapunov stability analysis. In order to evaluate the proposed controller’s performance, the modified Bergman model is considered for a number of diabetic patients under various conditions. Also, the parameters of the modified Bergman model are considered as time-varying and it is shown that the proposed control scheme results in good performance. Finally, the performance of the proposed method is compared with some other techniques.
Additional information
Notes on contributors
R. Zamani Forooshani
Razieh Zamani was born in Iran. She is a PhD scholar at Islamic Azad University of Central Tehran Branch, Iran Tehran. Her main research interests are in fuzzy control, neural network and type-1 diabetic control systems. Email: [email protected]
M. Siahi
Mehdi Siahi received the BSc degree in electrical engineering From Yazd University, Yazd Iran in 2001 and MSc degree in control engineering from the Shahrood University of Technology, Shahrood, Iran, in 2003. He obtained the PhD degree in control engineering from Shahrood University of Technology, Shahrood Iran, in 2008. He is now an associate professor and has been with faculty of Electrical Engineering, Islamic Azad University, Iran from 2004. His current research is on fault tolerant control systems, robust control and nonlinear systems. Corresponding author. Email: [email protected]
A. Ramezani
Amin Ramezani (IEEE Member 2005) was born in Khuzestan, Iran, in 1979. He received the BE degree in electrical engineering from the Shahid Beheshti University of Tehran, Tehran, Iran, in 2001, and the MSc in control systems from Sharif University of Technology, Tehran, Iran, in 2004 and PhD degree in electrical engineering from the University of Tehran, Tehran, Iran, in 2011. In 2012, he joined the Department of Electrical Engineering, Tarbiat Modares University, Tehran, Iran, as a lecturer. He is the chair of Advanced Control Lab and cooperates as the PC members of some conferences and special editor and reviewer of international journals in the field of control systems. His current research interests include fault tolerant control systems, model-based predictive control systems, stochastic control systems, hybrid systems. Dr Ramezani is a member of IEEE since 2005 and a member of Iranian Community Instrument and Control Engineers since 2012. He has contributed in more than 30 journal papers and 70 conference papers. Email: [email protected]