Özbek, Mehmet Efe

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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
Research Products
QUALITY EDUCATION4
QUALITY EDUCATION
3
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GENDER EQUALITY5
GENDER EQUALITY
0
Research Products
CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
4
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
3
Research Products
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
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CLIMATE ACTION13
CLIMATE ACTION
1
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
0
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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.
This researcher does not have a WoS ID.
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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Scholarly Output Search Results

Now showing 1 - 3 of 3
  • 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.
  • Article
    Citation - WoS: 7
    Citation - Scopus: 8
    Robust and Adaptive Control Design of a Drilling Rig During the Operating Modes
    (Sage Publications Ltd, 2019) Sadeghi, Amir Nobahar; Arikan, Kutluk Bilge; Ozbek, Mehmet Efe; Baranoglu, Besim; Nobahar Sadeghi, Amir
    Oil well drilling towers have different operating modes during a real operation, like drilling, tripping, and reaming. Each mode involves certain external disturbances and uncertainties. In this study, using the nonlinear model for the modes of the operation, robust and/or adaptive control systems are designed based on the models. These control strategies include five types of controllers: cascaded proportional-integral-derivative, active disturbance rejection controller, loop shaping, feedback error learning, and sliding mode controller. The study presents the design process of these controllers and evaluates the performances of the proposed control systems to track the reference signal and reject the uncertain forces including the parametric uncertainties and the external disturbances. This comparison is based on the mathematical performance measures and energy consumption. In addition, three architectures are presented to control the weight on bit during drilling process, and also to maintain a preset constant weight on bit, two control approaches are designed and presented.
  • 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.