|Topic:||Porovnani neuronovych siti a algoritmu optimalniho rizeni pro stabilizace drony|
|Supervisor:||Ing. Teymur Azayev|
|Announce as:||Diplomová práce, Semestrální projekt|
|Description:||The goal of the project is to compare the performance of a neural network stabilization policy which was learned in a simulator to several optimal control algorithms such as LQR and MPC. The performance will be tested on a real quadcopter, with a RP4 on board and is ready to fly. The simulation environment is written in Pybullet.