8 citations · 10 across the 3 of their papers we have counts for
3 papers
Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control
Ayoub Farkane, Mohamed Boutayeb, Mustapha Oudani +1
Accurate knowledge of the state variables in a dynamical system is critical for effective control, diagnosis, and supervision, especially when direct measurements of all states are…
PINN-Obs: Physics-Informed Neural Network-Based Observer for Nonlinear Dynamical Systems
Ayoub Farkane, Mohamed Boutayeb, Mustapha Oudani +1
State estimation for nonlinear dynamical systems is a critical challenge in control and engineering applications, particularly when only partial and noisy measurements are availabl…
EPINN-NSE: Enhanced Physics-Informed Neural Networks for Solving Navier-Stokes Equations
Ayoub Farkane, Mounir Ghogho, Mustapha Oudani +1
Fluid mechanics is a fundamental field in engineering and science. Solving the Navier-Stokes equation (NSE) is critical for understanding the behavior of fluids. However, the NSE i…