Zobrazeno 1 - 10
of 926
pro vyhledávání: '"Nasser, L"'
We propose a novel framework for designing a resilient Model Predictive Control (MPC) targeting uncertain linear systems under cyber attack. Assuming a periodic attack scenario, we model the system under Denial of Service (DoS) attack, also with meas
Externí odkaz:
http://arxiv.org/abs/2310.08680
Recently, an exact spherically symmetric analytic accretion solution was presented having simple $\rho \propto R^{-3/2}$ and $V \propto R^{-1/2}$ scalings in Hernandez et al. (2023). In dimensionless variables that solution forms a one-parameter fami
Externí odkaz:
http://arxiv.org/abs/2302.14371
We present an exact $\gamma=5/3$ spherical accretion solution which modifies the Bondi boundary condition of $\rho \to const.$ as $r\to \infty$ to $\rho \to 0$ as $r \to \infty$. This change allows for simple power law solutions on the density and in
Externí odkaz:
http://arxiv.org/abs/2204.08448
Current research on Deep Reinforcement Learning (DRL) for automated on-ramp merging neglects vehicle powertrain and dynamics. This work considers automated on-ramp merging for a power-split Plug-In Hybrid Electric Vehicle (PHEV), the 2015 Toyota Priu
Externí odkaz:
http://arxiv.org/abs/2203.03113
Publikováno v:
In Acta Astronautica September 2024 222:272-295
Autor:
Cook, H., Sugand, K., Nasser, L., Zaghloul, A., Wiberg, A., Panagiotidou, A., Quick, T., Sinisi, M., Fox, M.
Publikováno v:
In Journal of Plastic, Reconstructive & Aesthetic Surgery April 2024 91:200-206
Publikováno v:
In Journal of Molecular Liquids 1 April 2024 399
Autor:
Basiri, Mohammad Hossein, Ghojogh, Benyamin, Azad, Nasser L., Fischmeister, Sebastian, Karray, Fakhri, Crowley, Mark
Publikováno v:
59th IEEE Conference on Decision and Control (CDC), pp. 2849-2856, 2020
Vehicle platooning has been shown to be quite fruitful in the transportation industry to enhance fuel economy, road throughput, and driving comfort. Model Predictive Control (MPC) is widely used in literature for platoon control to achieve certain ob
Externí odkaz:
http://arxiv.org/abs/2004.00417
This study compares Deep Reinforcement Learning (DRL) and Model Predictive Control (MPC) for Adaptive Cruise Control (ACC) design in car-following scenarios. A first-order system is used as the Control-Oriented Model (COM) to approximate the accelera
Externí odkaz:
http://arxiv.org/abs/1910.12047