Özbek, Mehmet Efe

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Profile URL
https://hdl.handle.net/20.500.14411/8156
Name Variants
Mehmet Efe, Özbek
Ozbek, Mehmet Efe
M.E.Ozbek
O.,Mehmet Efe
M.,Özbek
Ö.,Mehmet Efe
O., Mehmet Efe
Özbek, Mehmet Efe
Ozbek,M.E.
M.E.Özbek
Mehmet Efe, Ozbek
M., Ozbek
Özbek,M.E.
Efe, MÖ
Efe, MO
Job Title
Doktor Öğretim Üyesi
Email Address
efe.ozbek@atilim.edu.tr
Main Affiliation
Department of Electrical & Electronics Engineering
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
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QUALITY EDUCATION4
QUALITY EDUCATION
3
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GENDER EQUALITY5
GENDER EQUALITY
0
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
4
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DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
3
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
Research Products
SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
1
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
Research Products
CLIMATE ACTION13
CLIMATE ACTION
1
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
0
Research Products
LIFE ON LAND15
LIFE ON LAND
0
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
This researcher does not have a Scopus ID.
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Scholarly Output

41

Articles

16

Views / Downloads

216/2118

Supervised MSc Theses

13

Supervised PhD Theses

1

WoS Citation Count

120

Scopus Citation Count

192

Patents

0

Projects

0

WoS Citations per Publication

2.93

Scopus Citations per Publication

4.68

Open Access Source

5

Supervised Theses

14

JournalCount
2010 9th International Conference on Information Technology Based Higher Education and Training, ITHET 2010 -- 2010 9th International Conference on Information Technology Based Higher Education and Training, ITHET 2010 -- 29 April 2010 through 1 May 2010 -- Cappadocia -- 809242
Journal of Petroleum Science and Engineering2
Measurement and Control2
Electronic Design1
Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi1
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Author: Efe, MÖ

Scholarly Output Search Results

Now showing 1 - 5 of 5
  • Thumbnail Image
    Article
    Citation - WoS: 40
    Citation - Scopus: 52
    Variable Structure Control of a Class of Uncertain Systems
    (Pergamon-elsevier Science Ltd, 2004) Efe, MÖ; Ünsal, C; Kaynak, O; Yu, XH
    This brief paper proposes a method for tuning the parameters of a variable structure controller. The approach presented extracts the error at the output of the controller and applies a nonlinear tuning law using this error measure. The adaptation mechanism drives the state tracking error vector to the sliding hypersurface and maintains the sliding mode. In the simulations, the approach presented has been tested on the control of Dulling oscillator and the analytical claims have been justified under the existence of measurement noise, uncertainty and large nonzero initial errors. (C) 2003 Elsevier Ltd. All rights reserved.
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    Article
    Citation - WoS: 4
    Citation - Scopus: 4
    Multi Input Dynamical Modeling of Heat Flow With Uncertain Diffusivity Parameter
    (Taylor & Francis inc, 2003) Efe, MÖ; Özbay, H
    This paper focuses on the multi-input dynamical modeling of one-dimensional heat conduction process with uncertainty on thermal diffusivity parameter. Singular value decomposition is used to extract the most significant modes. The results of the spatiotemporal decomposition have been used in cooperation with Galerkin projection to obtain the set of ordinary differential equations, the solution of which synthesizes the temporal variables. The spatial properties have been generalized through a series of test cases and a low order model has been obtained. Since the value of the thermal diffusivity parameter is not known perfectly, the obtained model contains uncertainty. The paper describes how the uncertainty is modeled and how the boundary conditions are separated from the remaining terms of the dynamical equations. The results have been compared with those obtained through analytic solution.
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    Article
    Citation - WoS: 1
    Citation - Scopus: 3
    A robust on-line learning algorithm for intelligent control systems
    (John Wiley & Sons Ltd, 2003) Efe, MÖ; Kaynak, O; Wilamowski, BM; Yu, XH
    This paper describes a novel error extraction approach for exploiting the strength of Levenberg-Marquardt (LM) optimization technique in intelligent control systems: Since the target value of the control signal is unknown, tuning of the controller parameters becomes a tedious task if the knowledge about the system and the environment is limited. The suggested methodology utilizes the sliding model control (SMC) technique. The error extraction scheme postulates the form of error on the applied control signal using the discrepancy from the prescribed reaching dynamics. The devised approach has been tested on the non-linear Duffing oscillator, which has been forced to follow a periodic orbit radically different from the natural one. The results obtained through a series of simulations have confirmed the high precision and robustness advantages without knowing the analytical details of the system under investigation. The issues of observation noise and the stability in the parametric space have approximately been addressed from the point of SMC perspective. Copyright (C) 2003 John Wiley Sons, Ltd.
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    Conference Object
    Citation - WoS: 9
    Citation - Scopus: 13
    Modeling of Subsonic Cavity Flows by Neural Networks
    (Ieee, 2004) Efe, MÖ; Debiasi, M; Özbay, H; Samimy, M
    Influencing the behavior of a flow field is a core issue as its improvement can yield significant increase of the efficiency and performance of fluidic systems. On the other hand, the tools of classical control systems theory are not directly applicable to processes displaying spatial continuity as in fluid flows. The cavity flow is a good example of this and a recent research focus in aerospace science is its modeling and control. The objective is to develop a finite dimensional representative model for the system with appropriately defined inputs and outputs. Towards the goal of reconstructing the pressure fluctuations measured at the cavity floor, this paper-demonstrates that given some history of inputs and outputs, a neural network based feedforward model can be developed such that the response of the neural network matches the measured response. The advantages of using such a model arc the representational simplicity of the model, structural flexibility to enable controller design and the ability to Store information in an interconnected structure.
  • Thumbnail Image
    Article
    Citation - WoS: 1
    Citation - Scopus: 3
    Multivariable Nonlinear Model Reference Control of Cement Mills
    (Arnold, Hodder Headline Plc, 2003) Efe, MÖ; Department of Electrical & Electronics Engineering
    This paper presents a method for model reference control of a cement milling circuit that has previously been studied several times. The approach presented is based on an experimentally justified model of a cement milling circuit. We derive the form of the control vector with the goal of driving the response of the system to that of a desired model in a noisy operating environment. The paper demonstrates the selection of the reference dynamics and the derivation of the control laws. The approach is based on the Lyapunov theory, and the results observed justify the tracking and stability claims of the paper.