Omar Qasem

According to our database, Omar Qasem authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Experimental Validation of Data-Driven Adaptive Optimal Control for Continuous-Time Systems Via Hybrid Iteration: An Application to Rotary Inverted Pendulum.

Omar Qasem, Hector M. Gutierrez, Weinan Gao

IEEE Trans. Ind. Electron., June, 2024

Robust Policy Iteration of Uncertain Interconnected Systems With Imperfect Data.

Omar Qasem, Weinan Gao

IEEE Trans Autom. Sci. Eng., April, 2024

Hybrid Iteration ADP Algorithm to Solve Cooperative, Optimal Output Regulation Problem for Continuous-Time, Linear, Multiagent Systems: Theory and Application in Islanded Modern Microgrids With IBRs.

Omar Qasem, Masoud Davari, Weinan Gao, Daniel R. Kirk, Tianyou Chai

IEEE Trans. Ind. Electron., 2024

2023

Adaptive optimal control of continuous-time nonlinear affine systems via hybrid iteration.

Omar Qasem, Weinan Gao, Kyriakos G. Vamvoudakis

Autom., November, 2023

Control of Small Spacecraft by Optimal Output Regulation: A Reinforcement Learning Approach.

Joao Leonardo Silva Cotta, Omar Qasem, Paula do Vale Pereira, Hector Gutierrez

CoRR, 2023

Autonomous Satellite Docking via Adaptive Optimal Output Rregulation: A Reinforcement Learning Approach.

Omar Qasem, Madhur Tiwari, Hector Gutierrez

CoRR, 2023

2022

Adaptive Dynamic Programming and Data-Driven Cooperative Optimal Output Regulation with Adaptive Observers.

Omar Qasem, Khalid Jebari, Weinan Gao

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Adaptive Optimal Control of Continuous-Time Linear Systems via Hybrid Iteration.

Omar Qasem, Weinan Gao, Tao Bian

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2019

Full-order and reduced-order observers for linear parameter-varying systems with one-sided Lipschitz nonlinearities and disturbances using parameter-dependent Lyapunov function.

Ali Abdullah, Omar Qasem

J. Frankl. Inst., 2019