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Tuncay Həbibbəyli

AMEA_3252
Elmi fəaliyyət
Qeyd: Elmi fəaliyyət Google Scholar profilindəki nəşrlər əsasında süni intellekt (DeepSeek-V3.2-reasoner) tətbiqi ilə tərtib olunmuşdur. ( )
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Tam Adı:
Tuncay Həbib oğlu Həbibbəyli
Elmi dərəcə:
Texnika üzrə fəlsəfə doktoru
Elmi ad:
Təvəllüd:
28 Yanvar 1996
İş ünvanı:
Əlaqə nömrəsi:
Email:
  • tunjayhabibbayli@anas.az
İş yeri məlumatları
Təşkilat / Şöbə:
Rəyasət Heyəti / "Elektron Akademiya" şöbəsi
Vəzifə:
Baş mütəxəssis
Əsas iş yeri:
Bəli
İşləmə müddəti:
3 İyun 2026 – H/h
Təşkilat / Şöbə:
Memarlıq və İncəsənət İnstitutu / Rəqəmsal sənətşünaslıq və süni intellekt şöbəsi
Vəzifə:
Böyük elmi işçi
Əsas iş yeri:
Xeyr
İşləmə müddəti:
3 İyun 2026 – H/h
Elmi işlərin siyahısı
İşin adı Jurnalın adı, Nəşriyyat, cild, N Müəlliflər İstinad sayı Nəşr tarixi Abstrakt və oxşar məqalələr

Tarix Ümumi Məqalə sayı Ümumi İstinad sayı h index i10 index
1 İyul 2026 8 8 1 0

Content for WOS.
Elmi işlərin siyahısı
İşin adı Jurnalın adı, Nəşriyyat, cild, N Müəlliflər İstinad sayı Nəşr tarixi Abstrakt və oxşar məqalələr
Formation of the quadcopter flight path under overland monitoring using neuro-fuzzy modeling methods Mathematical machines and systems /Cild: 3 səh: 97-107 TH Habibbayli 5 2022 Some territories where economic activity is carried … Some territories where economic activity is carried out are characterized by the presence of mountainі and forests. To provide information support for the development of infrastructure and agriculture in these areas, in some cases, there is required overland monitoring with unmanned technologies. In this regard, an algorithm for the formation of a 3D trajectory of a quadcopter during overland piloting in a mountainous and wooded landscape is proposed, which implies autonomous maneuvering to overcome possible obstacles. As a basic model, it is proposed to use a fuzzy inference system with input characteristics in the form of linguistic variables that reflect fuzzy sectors of space, within which the presence of obstacles and the distance to them are interpreted verbally, ie, in the form of terms of corresponding input linguistic variables. Overcoming obstacles is supposed to be performed on the basis of fuzzy … Daha çox
Əlaqəli məqalələr(Google)
The use of fuzzy controllers in automatic control systems for quadcopters Proceedings of SAI intelligent systems conference / Springer Nature Switzerland səh: 59-74 Ramin Rzayev, Tunjay Habibbayli, Murad Aliyev 1 2023 The purpose and objectives of this work … The purpose and objectives of this work are to develop methods for designing fuzzy control systems for weakly formalized technical objects relative to helicopter-type unmanned aerial vehicles, namely quadcopters. The result of the paper is to obtain analytical information on the existing structures of fuzzy regulators, understanding the features of their design, and practical use. The basic paradigm of this approach is the verbal interpretation of the distance to possible obstacles in the frontal horizontal and vertical planes in the direction of the quadcopter flight. As a tool for formalizing verbal assessments, it is proposed to use fuzzy sets that can reflect the terms (or values) of linguistic variables as inputs of the basic quadrotor control model under overland monitoring. Taking into account the presence of obstacles, the maneuvering of the quadcopter is carried out on the basis of the fuzzy signals generated by the Fuzzy … Daha çox
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Quadcopter control under overland monitoring using neural network and fuzzy modeling methods Fuzzy Systems and Soft Computing / Tver State University /Cild: 18 /N: 1 səh: 47-62 Ali Abbasov, Tunjay Habibbayli, Ramin Rza ogly Rzaev, Islam Akhmedov, Asker Almasov 1 2023 A. Abbasov, RR Rzaev, I. Akhmedov, A. … A. Abbasov, RR Rzaev, I. Akhmedov, A. Almasov, T. Habibbayli, “Quadcopter control under overland monitoring using neural network and fuzzy modeling methods”, Fuzzy Systems and Soft Computing, 18:1 (2023), 47–62 Fuzzy Systems and Soft Computing RUS ENG JOURNALS PEOPLE ORGANISATIONS CONFERENCES SEMINARS VIDEO LIBRARY PACKAGE AMSBIB General information Latest issue Archive Guidelines for authors Submit a manuscript Search papers Search references RSS Latest issue Current issues Archive issues What is RSS Fuzzy Systems and Soft Computing: Year: Volume: Issue: Page: Find Your organisation: Google bot Personal entry: Login: Password: Save password Enter Forgotten password? Register Powered by MathJax Fuzzy Systems and Soft Computing, 2023, Volume 18, Issue 1, Pages 47–62 DOI: https://doi.org/10.26456/fssc110 (Mi fssc110) Quadcopter control under … Daha çox
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Fuzzy inference based quadcopter flight regulation under overland monitoring International Conference on Theory and Applications of Fuzzy Systems and Soft Computing / Springer Nature Switzerland səh: 372-381 Tunjay Habibbayli, Murad Aliyev 1 2022 Some territories where economic activity is carried … Some territories where economic activity is carried out are characterized by the presence of mountain and forest tracts. To provide information support for the development of infrastructure and agriculture in these areas, in some cases overland monitoring using unmanned technologies is required. In this regard, an algorithm for the formation of a 3D trajectory of a quadcopter during overland piloting in a mountainous and wooded landscape is proposed, which implies autonomous maneuvering to overcome possible obstacles. As a basic model, it is proposed to use a fuzzy inference system with input characteristics in the form of linguistic variables that reflect fuzzy sectors of space, within which the presence of obstacles and the distance to them are interpreted verbally, that is, in the form of terms of corresponding input linguistic variables. Overcoming obstacles is supposed to be performed based on fuzzy … Daha çox
Əlaqəli məqalələr(Google)
Formation of the Flight Path of a Quadcopter under Overland Monitoring by the Hybrid Modeling System 2023 5th International Conference on Problems of Cybernetics and Informatics (PCI) / IEEE səh: 1-4 Ali Abbasov, Ramin Rzayev, Tunjay Habibbayli 0 2023 The purpose and objectives of this work … The purpose and objectives of this work are to develop methods for designing hybrid control systems for poorly formalized technical objects related to helicopter-type unmanned aerial vehicles, namely quadcopters. The result of the article is to obtain analytical information regarding the appropriate structure of a hybrid (neuro-fuzzy) controller, understanding the features of its design and practical use. The results obtained differ from analogues by a greater orientation in relation to the control of quadcopters based on the Neural Network based Fuzzy Inference System. Daha çox
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Structured Neural Network Based Quadcopter Control Under Overland Monitoring International Conference on Intelligent and Fuzzy Systems / Springer Nature Switzerland səh: 577-585 Ali Abbasov, Ramin Rzayev, Tunjay Habibbayli, Murad Aliyev 0 2023 In some areas where economic activity is … In some areas where economic activity is carried out, the presence of mountains and forests is observed. In order to provide information support for the development of infrastructure and agriculture in these territories, in some cases the overland monitoring is required using unmanned technologies, in particular, quadcopters. To ensure autonomous maneuvering of the quadcopter under overland monitoring, it is proposed to use a structured hierarchical neural network control model, which includes two subnets: “reasonable” and “instinctive”. The training of these networks is carried out on various scenarios of the behavior of the quadcopter relative to overcoming possible obstacles in the five fields of vision. As a basic model for the formation of such scenarios, it is proposed to use a fuzzy inference system with input characteristics in the form of linguistic variables that reflect fuzzy areas of space within which the … Daha çox
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REGULATION OF QUADCOPTER AUTOPILOTING DURING OVERLAND MONITORING USING A FUZZY INFERENCE SYSTEM 9ROXPH səh: 207 TH HABIBBAYLI 0 2022 The current level of unmanned technologies actualizes … The current level of unmanned technologies actualizes the use of drones for overland monitoring of infrastructure and agriculture, characterized by large mountainous and forested areas. For overland monitoring of various objects, it is preferable to use rotary-wing drones (quadcopters)[2], which are the most popular among researchers despite their own limitations. The advantage of the quadcopter is that each of its four propellers provides raising force and high flight stability. Nevertheless, as a rather complex technical device, a quadcopter is characterized by flight dynamics that are difficult to formalize due to its sensitivity to the influence of external factors [2, 4]. Therefore, solving the problem of controlling a quadcopter for overland monitoring in the presence of natural obstacles in a mountainous-wooded landscape and hard-to-reach places is interesting both from scientific and practical points of view. Currently, fuzzy approaches to solving problems of automatic control are considered in two aspects [1]. The first is related to the creation of a classifier of situations that forms the goals and objectives of the functioning of a dynamic system. The second approach involves direct fuzzy regulation of the variables of the control object. Based on these prerequisites, it becomes obvious the importance and relevance of developing software for autonomous movement of a quadcopter for overland piloting in highlands and woodlands, including automatic maneuvering to avoid possible obstacles. In the context of the foregoing, an algorithm is proposed for creating a smart obstacle avoidance system for quadcopter autopiloting, based on the use of the fuzzy … Daha çox
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ABOUT ONE APPROACH TO THE ISSUE OF REGULATING THE BEHAVIOR OF A QUADCOPTER UNDER OVERLAND MONITORING ANAS Reports /Cild: 78 /N: 3-4 TH Habibbayli 0 2022 For information support of the development of … For information support of the development of infrastructure and agriculture in fields characterized by mountainous and forested areas, in some cases ground monitoring using unmanned technologies is required. In this regard, an algorithm for the formation of a 3D quadcopter trajectory under overland piloting in a mountainous and wooded landscape is proposed, which implies autonomous maneuvering to overcome possible obstacles. As a basic model, a fuzzy inference system is used with input characteristics in the form of linguistic variables that reflect fuzzy sectors of space, within which the presence of obstacles and the distance to them are interpreted verbally, that is, in the form of terms. It is proposed to overcome obstacles based on fuzzy conclusions of this system, formulated as terms of output linguistic variables, which reflect changes in the angle of rotation in the horizontal plane, flight altitude and speed … Daha çox
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