12 citations · 12 across the 3 of their papers we have counts for
3 papers
Learning-Based Approximate Nonlinear Model Predictive Control Motion Cueing
Camilo Gonzalez Arango, Houshyar Asadi, Mohammad Reza Chalak Qazani +1
Motion Cueing Algorithms (MCAs) encode the movement of simulated vehicles into movement that can be reproduced with a motion simulator to provide a realistic driving experience wit…
A nonlinear real time capable motion cueing algorithm based on deep reinforcement learning
Hendrik Scheidel, Camilo Gonzalez, Houshyar Asadi +4
In motion simulation, motion cueing algorithms are used for the trajectory planning of the motion simulator platform, where workspace limitations prevent direct reproduction of ref…
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…