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HATUN, METİN

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METİN

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    Publication
    Stability analysis tool for discrete-time systems in control education
    (Springer, 2023-05-20) VATANSEVER, FAHRİ; Vatansever, Fahri; Hatun, Metin; HATUN, METİN; Mühendislik Fakültesi; Elektrik ve Elektronik Mühendisliği Bölümü; 0000-0002-3885-8622; 0000-0003-0279-5508; AAG-8425-2021; AAH-2199-2021
    Computers are widely used for the purpose of education along with the developing technology as in every field. Students can learn and understand theoretical information individually with computer tools such as lectures, animations, solved/unsolved examples, simulations, interactive simulators, online support. In this study, a new software tool has been designed which contains many methods for stability analysis in discrete-time systems and is not available in the literature/application. By using this computer tool, which includes eleven stability analysis methods, related lectures, interactive analysis and application (exercise) simulators; it is aimed that students learn and understand the knowledge in the related field in a simple and easy way on their own.
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    Identification of wiener systems with recursive Gauss-Seidel algorithm
    (Kaunas Univ Technology, 2023-01-01) Hatun, Metin; HATUN, METİN; Elektrik Elektronik Mühendisliği Bölümü; 0000-0003-0279-5508; AAH-2199-2021
    The Recursive Gauss-Seidel (RGS) algorithm is presented that is implemented in a one-step Gauss-Seidel iteration for the identification of Wiener output error systems. The RGS algorithm has lower processing intensity than the popular Recursive Least Squares (RLS) algorithm due to its implementation using one-step Gauss-Seidel iteration in a sampling interval. The noise-free output samples in the data vector used for implementation of the RGS algorithm are estimated using an auxiliary model. Also, a stochastic convergence analysis is presented, and it is shown that the presented auxiliary model-based RGS algorithm gives unbiased parameter estimates even if the measurement noise is coloured. Finally, the effectiveness of the RGS algorithm is verified and compared with the equivalent RLS algorithm by computer simulations.