12 citations · 40 across the 9 of their papers we have counts for
3 papers · 1 filter
Neural Networks for Fast Optimisation in Model Predictive Control: A Review
Camilo Gonzalez, Houshyar Asadi, Lars Kooijman +1
Model Predictive Control (MPC) is an optimal control algorithm with strong stability and robustness guarantees. Despite its popularity in robotics and industrial applications, the…
Uncertainty Aware Neural Network from Similarity and Sensitivity
H M Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam +8
Researchers have proposed several approaches for neural network (NN) based uncertainty quantification (UQ). However, most of the approaches are developed considering strong assumpt…
A Deep Reinforcement Learning Based Motion Cueing Algorithm for Vehicle Driving Simulation
Hendrik Scheidel, Houshyar Asadi, Tobias Bellmann +3
Motion cueing algorithms (MCA) are used to control the movement of motion simulation platforms (MSP) to reproduce the motion perception of a real vehicle driver as accurately as po…