Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Chehadeh, Mohamad"'
In this paper, we present a real-time system identification method based on relay feedback testing with applications to multirotor unmanned aerial vehicles. The proposed identification method provides an alternative to the expensive lab testing of ce
Externí odkaz:
http://arxiv.org/abs/2303.14573
This paper analyzes the simulation to reality gap in reinforcement learning (RL) cyber-physical systems with fractional delays (i.e. delays that are non-integer multiple of the sampling period). The consideration of fractional delay has important imp
Externí odkaz:
http://arxiv.org/abs/2209.15216
In this paper, we analyze the effect of time delay dynamics on controller design for Unmanned Aerial Vehicles (UAVs) with vision based navigation. Time delay is an inevitable phenomenon in cyber-physical systems, and has important implications on con
Externí odkaz:
http://arxiv.org/abs/2209.01933
Autor:
Peringal, Anees, Chehadeh, Mohamad, Azzam, Rana, Hamandi, Mahmoud, Boiko, Igor, Zweiri, Yahya
The field of Unmanned Aerial Vehicles (UAVs) has reached a high level of maturity in the last few years. Hence, bringing such platforms from closed labs, to day-to-day interactions with humans is important for commercialization of UAVs. One particula
Externí odkaz:
http://arxiv.org/abs/2207.05403
Autor:
Hay, Oussama Abdul, Chehadeh, Mohamad, Ayyad, Abdulla, Wahbah, Mohamad, Humais, Muhammad, Seneviratne, Lakmal, Zweiri, Yahya
Vision based control of Unmanned Aerial Vehicles (UAVs) has been adopted by a wide range of applications due to the availability of low-cost on-board sensors and computers. Tuning such systems to work properly requires extensive domain specific exper
Externí odkaz:
http://arxiv.org/abs/2107.01581
Control performance of Unmanned Aerial Vehicles (UAVs) is directly affected by their ability to estimate their states accurately. With the increasing popularity of autonomous UAV solutions in real world applications, it is imperative to develop robus
Externí odkaz:
http://arxiv.org/abs/2106.07299
The demand for accurate and fast trajectory tracking for multirotor Unmanned Aerial Vehicles (UAVs) have grown recently due to advances in UAV avionics technology and application domains. In many applications, the multirotor UAV is required to accura
Externí odkaz:
http://arxiv.org/abs/2106.03459
Autor:
Ayyad, Abdulla, Chehadeh, Mohamad, Silva, Pedro, Wahbah, Mohamad, Hay, Oussama Abdul, Boiko, Igor, Zweiri, Yahya
Low cost real-time identification of multirotor unmanned aerial vehicle (UAV) dynamics is an active area of research supported by the surge in demand and emerging application domains. Such real-time identification capabilities shorten development tim
Externí odkaz:
http://arxiv.org/abs/2010.02645
Publikováno v:
IEEE ACCESS, 8, (2020), 122539 - 122553
This paper proposes a novel parametric identification approach for linear systems using Deep Learning (DL) and the Modified Relay Feedback Test (MRFT). The proposed methodology utilizes MRFT to reveal distinguishing frequencies about an unknown proce
Externí odkaz:
http://arxiv.org/abs/2004.08603
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