Trajectory-control using deep System Identication and Model Predictive Control for Drone Control under Uncertain Load.

international conference on system theory, control and computing, (2018)

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Abstract:

Machine learning allows to create complex models if provided with enough data, hence challenging more traditional system identification methods. We compare the quality of neural networks and an ARX model when use in an model predictive control to command a drone in a simulated environment. The training of neural networks can be challengin...More

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