Gürkan Kavuran

Prof. Dr. Gürkan Kavuran

Department of Electrical and Electronics Engineering, Malatya Turgut Ozal University, Malatya, Turkey (Türkiye)
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Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2017 in Measurement
Verified
Journal Article
Closed access
AAAbdullah Ates
Abdullah Ates
BABaris Baykant Alagoz
Baris Baykant Alagoz
Gürkan KavuranGürkan Kavuran
Gürkan Kavuran
CYCelaleddin Yeroglu
Celaleddin Yeroglu

19 February 2022 in Chaos, Solitons & Fractals
Verified
Journal Article
Closed access
Gürkan KavuranGürkan Kavuran
Gürkan Kavuran

29 November 2017 in PLOS ONE
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Journal Article
Open access
PDF file
BABaris Baykant Alagoz
Baris Baykant Alagoz
Gürkan KavuranGürkan Kavuran
Gürkan Kavuran
AAAbdullah Ates
Abdullah Ates
CYCelaleddin Yeroğlu
Celaleddin Yeroğlu
This study presents a model reference adaptive control scheme based on reference-shaping approach. The proposed adaptive control structure includes two optimizer processes that perform gradient descent optimization. The first process is the control optimizer that generates appropriate control signal for tracking of the controlled system output to a reference model output. The second process is the adaptation optimizer that performs for estimation of a time-varying adaptation gain, and it contributes to improvement of control signal generation. Numerical update equations derived for adaptation gain and control signal perform gradient descent optimization in order to decrease the model mismatch errors. To reduce noise sensitivity of the system, a dead zone rule is applied to the adaptation process. Simulation examples show the performance of the proposed Reference-Shaping Adaptive Control (RSAC) method for several test scenarios. An experimental study demonstrates application of method for rotor control.

7 February 2020 in Iranian Journal of Science and Technology, Transactions of Electrical Engineering
Verified
Journal Article
Closed access
PDF file
AAAbdullah Ates
Abdullah Ates
BABaris Baykant Alagoz
Baris Baykant Alagoz
Gürkan KavuranGürkan Kavuran
Gürkan Kavuran
CYCelaleddin Yeroğlu
Celaleddin Yeroğlu

17 July 2014 in Machines
Verified
Journal Article
Open access
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DADerek P. Atherton
Derek P. Atherton
NTNusret Tan
Nusret Tan
CYCelaleddin Yeroğlu
Celaleddin Yeroğlu
Gürkan KavuranGürkan Kavuran
Gürkan Kavuran
AYAli Yüce
Ali Yüce
In recent years, there has been considerable interest in the study of feedback systems containing processes whose dynamics are best described by fractional order derivatives. Various situations have been cited for describing heat flow and aspects of bioengineering, where such models are believed to be superior. In many situations these feedback systems are not linear and information on their stability and the possibility of the existence of limit cycles is required. This paper presents new results for determining limit cycles using the approximate describing function method and an exact method when the nonlinearity is a relay characteristic.