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

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

The growing number of noncooperative flying objects has prompted interest in sample-return and space debris removal missions. Current solutions are both costly and largely dependent on specific object identification and capture methods. In this paper

Externí odkaz: http://arxiv.org/abs/2307.09428

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

Autor: Qasem, Omar, Jebari, Khalid, Gao, Weinan

In this paper, a novel adaptive optimal control strategy is proposed to achieve the cooperative optimal output regulation of continuous-time linear multi-agent systems based on adaptive dynamic programming (ADP). The proposed method is different from

Externí odkaz: http://arxiv.org/abs/2209.12225

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Robust Policy Iteration of Uncertain Interconnected Systems With Imperfect Data

Autor: Qasem, Omar, Gao, Weinan

Publikováno v: IEEE Transactions on Automation Science and Engineering: A Publication of the IEEE Robotics and Automation Society; 2024, Vol. 21 Issue: 2 p1214-1222, 9p