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Topic: | Porovnani neuronovych siti a algoritmu optimalniho rizeni pro stabilizace drony |
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Department: | Katedra kybernetiky |
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.
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