Uğur Zengin

ORCID: 0000-0003-2009-3876
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Guidance and Control Systems
  • Military Defense Systems Analysis
  • Robotic Path Planning Algorithms
  • Aerospace and Aviation Technology
  • Digital Transformation in Industry
  • Vehicle Dynamics and Control Systems
  • Distributed Control Multi-Agent Systems
  • Real-time simulation and control systems
  • Fault Detection and Control Systems
  • Simulation Techniques and Applications
  • Target Tracking and Data Fusion in Sensor Networks
  • Technology Assessment and Management
  • Design Education and Practice
  • Algebraic Geometry and Number Theory
  • Manufacturing Process and Optimization
  • Robotics and Sensor-Based Localization
  • Economic and Technological Systems Analysis
  • Chaos-based Image/Signal Encryption
  • Geotechnical Engineering and Soil Stabilization
  • Human-Automation Interaction and Safety
  • Landslides and related hazards
  • Air Traffic Management and Optimization
  • Quantum chaos and dynamical systems
  • Big Data and Business Intelligence
  • Model-Driven Software Engineering Techniques

Turkish Aerospace Industries (Turkey)
2016-2025

Turkish Armed Forces
2020

Yıldız Technical University
2020

Sağlık Bilimleri Üniversitesi
2020

The University of Texas at Arlington
2004-2011

With the ever increasing complexity of airborne systems, it is becoming extremely hard to identify, analyze and resolve problems during life-cycle aircraft. Increasing reliability future air vehicles designed for airspace with rapidly growing traffic, collecting data system design manufacturing phases fetching information about product's from this critical. Digital Twin defined as a virtual copy product that created starting very first moment when idea materializes. The reflects real one by...

10.2514/6.2020-0553 article EN AIAA SCITECH 2022 Forum 2020-01-05

This paper presents a rule-based intelligent guidance strategy for autonomous pursuit of mobile targets by unmanned aerial vehicles (UAVs) in an area with threats, obstacles, and restricted regions. The probabilistic threat exposure map (PTEM) is used as the mathematical formulation operation to make decisions based on set defined rules. rules are developed three objectives order priority as: 1) avoid obstacles/restricted regions; 2) maintain target proximity; 3) minimize UAV level. A...

10.1109/tro.2006.889490 article EN IEEE Transactions on Robotics 2007-04-01

This study proposes a new approach to creating virtual flight test environment by integrating digital twin of an iron bird rig with engineering simulator. Generating twins for rigs in aviation is rare and innovative approach. The simulator used this incorporates real hands-on throttle stick provide pilots realistic experience. A validated trainer aircraft, fully equipped encompassing hydraulic, mechanical, control, landing gear systems, was as the basis generating its twin. then update...

10.2514/1.i011569 article EN Journal of Aerospace Information Systems 2025-03-12

Aiming to address the vulnerability of non-stealth aircraft radar detection due inherent design limitations, this paper proposes a method generate maneuvers that reduce an aircraft’s cross-section (RCS) value below specified threshold. The proposed employs control barrier functions and leverages relationship between inputs RCS. Due confidentiality concerns, required RCS database for F-16 was generated through analyses performed using created geometry. results are compared with virtual path...

10.20944/preprints202501.0110.v1 preprint EN 2025-01-03

A strategy is presented for an unmanned aerial vehicle (UAV) to follow a moving target in area the probabilistic threat exposure map of which assumed be known based on priori data. defined risk multiple sources as function position. The generates speed and heading angle commands within dynamic constraints UAV. There are three main objectives order priority: 1) All restricted areas avoided. 2) UAV stays proximity by prespecified distance. 3) total level minimized. During pursuit, their time...

10.2514/1.18386 article EN Journal of Guidance Control and Dynamics 2006-07-01

10.1016/j.robot.2011.08.006 article EN Robotics and Autonomous Systems 2011-08-19

In this paper, we will introduce a probabilistic solution to the problem of trajectory planning for UAV ying in dynamic environment. By environment mean that map is time-variant i.e probability becoming disabled at given location might be changing over time. Probabilistic dened as risk exposure sources threat function time and position. This case when likelihood and/or obstacles their position priori known. The objective arrive target while maximizing safety feasible trajectory. turning rate...

10.2514/6.2004-6528 article EN 2004-06-19

In this paper, we present a strategy to follow moving target in an area whose probabilistic threat exposure map is assumed be known based on priori data. Probabilistic dened the risk of multiple sources as function position. During pursuit, heading and speed their time variations are not directly measured but estimated from measurements positions. order for commanded trajectory generated by realizable pursuer UAV, turning rate constraints velocity UAV also taken into consideration. The...

10.2514/6.2004-6580 article EN 2004-06-19

In this paper, we present a real-time target tracking strategy for autonomous UAV operations in adversarial environments. The generates the commanded heading and speed within dynamic constraints of (i) to ensure that does not enter restricted regions (ii) maintain pursuit (iii) minimize threat exposure level UAV. Probabilistic map (PTEM) area operation is generated by using set Gaussian probability distribution functions. PTEM defines various types threats single framework gives risk these...

10.1109/cdc.2006.377652 article EN 2006-01-01

View Video Presentation: https://doi.org/10.2514/6.2022-3629.vid The rapid development and integration of technology mean that customer needs also change rapidly. Also, this is proceeding in the same way every industry field. Making use Digital Technologies one biggest investments companies to produce best for customers shortest time at cheapest price. Industry 4.0 concept has already emerged as part need. In addition technologies such Internet Things, Artificial Intelligence, Big Data, most...

10.2514/6.2022-3629 article EN AIAA Aviation 2019 Forum 2022-06-20

In this paper, we present a cooperative strategy for multiple UAVs under communication constraints to follow moving target in an area with threat sources. The main goals of the are, (i) ensure that do not enter restricted regions (ii) maintain pursuit by at least one UAV (iii) minimize exposure level each (iv) relative distance between within range, and (v) generate commanded heading speed dynamic UAV. Exposure is modelled using multidimensional Gaussian Law. When are they send their own...

10.2514/6.2005-5839 article EN AIAA Guidance, Navigation, and Control Conference and Exhibit 2005-06-19

The objective in this paper is to pursue a target by multiple UAVs when the moves an area with threats, obstacles and restricted areas. In pursuit there are two conflicting objectives: (i) all stay close (ii) avoid restricted-areas/obstacles total threat exposure level minimized. This develops formulation quantify trade-off between these objectives cooperative manner providing proximity circles that how what formation should follow target. These calculated using gradient search approach,...

10.2514/6.2006-6461 article EN AIAA Guidance, Navigation, and Control Conference and Exhibit 2006-06-15

10.1007/s10998-020-00321-6 article EN Periodica Mathematica Hungarica 2020-03-17

View Video Presentation: https://doi.org/10.2514/6.2021-0239.vid Airborne systems are becoming more and complex, making it harder to meet the volatile requirements of complex or sub-systems. Test infrastructures inevitably inheriting product complexity. Iron bird test rigs need real actuators, hydraulic pumps, piping, loading which make their development operation resource intensive. As for itself, digital twin technologies may help us also tackle complexity infrastructures. An iron is one...

10.2514/6.2021-0239 article EN AIAA SCITECH 2022 Forum 2021-01-04

10.2514/6.2017-3475 article EN AIAA Modeling and Simulation Technologies Conference 2017-06-02

This paper demonstrates a new approach for modeling and simulating landing gear systems. A generic ground dynamics model is developed in MATLAB-Simulink® environment it integrated to non-linear 6-DOF helicopter model. Non-linear constructed an in-house comprehensive analysis code, TAI Indigenous Rotorcraft Simulation (TIRS). Other than the motion after touchdown, this also applicable trimming on ground, which useful determining take-off capabilities of either flat or sloped surface. Slope...

10.4050/f-0072-2016-11495 article EN 2016-05-17

Bu çalışmada Kadirli sucuğunun (sade sucuk ve salatalı sucuk) mikrobiyolojik kalitesi değerlendirilmiştir.Çalışmada "A, B, C, D E" kodlu 5 farklı sokak satıcısından temin edilen "sade sucuk" "salatalı olmak üzere toplam 10 adet örnekte mezofil aerob bakteri, maya-küf koliform grubu bakteri sayısı tespit edilmiştir.Toplam sayısını belirlemede yayma ekim yöntemi kullanılarak seçici besiyerlerine

10.3153/fh20004 article TR Food and Health 2020-01-01

Being able to represent pilot control behavior computationally would give insights in the early phases of aircraft design, and reduce risks costs flight-tests. This work introduces a novel mathematical model that takes into account majority psychophysical limitations an actual human operator. The Model-Based Pilot Controller (MBPC) developed herein utilizes optimal estimation modern theory. It can operate wide range linear or non-linear vehicle dynamics, acting as manual controller. MBPC,...

10.4050/f-0072-2016-11449 article EN 2016-05-17

The Model-Based Pilot Controller (MBPC) had been developed to mathematically model pilot control behavior. Using optimal estimation and modern theories, the MBPC takes psychophysical limitations into account while modeling multimodal characteristics of a human operator. This paper herein discusses validation process by conducting set Mission-Task-Element (MTE) experiments with test on fixed-based flight simulator. activities both are compared in terms workload that is available through...

10.4050/f-0073-2017-12069 article EN 2017-05-09
Coming Soon ...