2 papers
physics.flu-dyn2024
Minimizing Nature's Cost: Exploring Data-Free Physics-Informed Neural Network Solvers for Fluid Mechanics Applications
Abdelrahman Elmaradny, Ahmed Atallah, Haithem Taha
In this paper, we present a novel approach for fluid dynamic simulations by harnessing the capabilities of Physics-Informed Neural Networks (PINNs) guided by the newly unveiled pri…
eess.SY2023
A Control Approach for Nonlinear Stochastic State Uncertain Systems with Probabilistic Safety Guarantees
Mohammad S. Ramadan, Mohammad Alsuwaidan, Ahmed Atallah +1
This paper presents an algorithm to apply nonlinear control design approaches in the case of stochastic systems with partial state observation. Deterministic nonlinear control appr…