activity
20202023
most citedReal-time System Identification Using Deep Learning for Linear Processes with Application to Unmanned Aerial Vehicles

55 citations · 72 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SY2023★ 6 cited

Relay-based identification of Aerodynamic and Delay Sensor Dynamics with applications for Unmanned Aerial Vehicles

Anees Peringal, Mohamad Chehadeh, Igor Boiko +1

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 identifica…

eess.SY2022★ 1 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.RO2022★ 3 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.RO2022★ 5 cited

Design of Dynamics Invariant LSTM for Touch Based Human-UAV Interaction Detection

Anees Peringal, Mohamad Chehadeh, Rana Azzam +3

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…

cs.RO2021★ 1 cited

Noise Tolerant Identification and Tuning Approach Using Deep Neural Networks For Visual Servoing Applications

Oussama Abdul Hay, Mohamad Chehadeh, Abdulla Ayyad +4

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…

cs.RO2021★ 1 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★ 55 cited

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…