activity
20202022
most citedAnalysis of the Effect of Time Delay for Unmanned Aerial Vehicles with Applications to Vision Based Navigation

3 citations · 5 across the 4 of their papers we have counts for

collaborators

6 papers

eess.SY20221 cited

The Role of Time Delay in Sim2real Transfer of Reinforcement Learning for Cyber-Physical Systems

Mohamad Chehadeh, Igor Boiko, Yahya Zweiri

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 sam…

cs.RO20223 cited

Analysis of the Effect of Time Delay for Unmanned Aerial Vehicles with Applications to Vision Based Navigation

Muhammad Ahmed Humais, Mohamad Chehadeh, Igor Boiko +1

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 pheno…

cs.RO20211 cited

Dynamic Based Estimator for UAVs with Real-time Identification Using DNN and the Modified Relay Feedback Test

Mohamad Wahbah, Mohamad Chehadeh, Yahya Zweiri

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 s…

cs.RO2021

Systematic Online Tuning of Multirotor UAVs for Accurate Trajectory Tracking Under Wind Disturbances and In-Flight Dynamics Changes

Abdulaziz Y. Alkayas, Mohamad Chehadeh, Abdulla Ayyad +1

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 d…

eess.SY2020

Multirotors from Takeoff to Real-Time Full Identification Using the Modified Relay Feedback Test and Deep Neural Networks

Abdulla Ayyad, Mohamad Chehadeh, Pedro Silva +4

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 domai…

eess.SY2020

Real-time System Identification Using Deep Learning for Linear Processes with Application to Unmanned Aerial Vehicles

Abdulla Ayyad, Mohamad Chehadeh, Mohammad I. Awad +1

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 uti…