An efficient sliding mode observer-based model predictive control: experimental implementation on a DC/DC power converter

B Bahtiyar, M Çetin, S Beyhan… - Transactions of the …, 2018 - journals.sagepub.com
In this paper, a discretization-based sliding mode observer (DBSMO) is proposed for the
state and parameter estimation of nonlinear systems. In the DBSMO structure, an accurate …

An Efficient Observer Design for Multi Leak Detection and Isolation in Water Supply Networks

B Bahtiyar, M Cetin, S Beyhan - Avrupa Bilim ve Teknoloji Dergisi, 2021 - dergipark.org.tr
This paper introduces an efficient observer design for leak detection and isolation of pipeline
networks. The designed observer can be applied to the multistage pipeline networks with …

Belirsiz beyin korteks modelinin durum ve parametre kestirimi

M Çetin, S Beyhan - Pamukkale Üniversitesi Mühendislik Bilimleri …, 2018 - dergipark.org.tr
Beyin korteksinin yaklaşık modeli, günümüzde başta epilepsi, Parkinson gibi hastalıklar
olmak üzere birçok hastalığın tedavisinde kullanılmaktadır. Korteks matematiksel modeli …

Time-Varying Fault Tolerant Control of Nonlinear MIMO Systems

M Çetin, S Beyhan, S İplikçi - 2018 26th Mediterranean …, 2018 - ieeexplore.ieee.org
In this study, a recently proposed discretization based observer is designed for the
estimation of unknown time-varying fault variable. Using the estimated fault, a model …

[PDF][PDF] Nonlinear Observer Design for Biological Systems: A Case Study for Neuronal Models

M ÇETİN, S BEYHAN - researchgate.net
Mathematical model of a biological system presents an understanding for the behavior of the
system. Recently, mathematical models of the bacteria populations, diseases …

[PDF][PDF] Observer Design for the Hodgkin-Huxley Neuronal Model

M Cetin, S Beyhan - … Journal of Applied Mathematics Electronics and …, 2016 - dergipark.org.tr
Hodgkin-Huxley (HH) neuronal model has been widely accepted neuronal model in
neuroscience. The variation of the ionic currents in neuron cell causes the variations in the …