Geometric Adaptive Control with Neural Networks for a Quadrotor UAV in Wind fields
Defense Tech
Summary
arXiv:1903.02091v1 Announce Type: cross Abstract: This paper proposes a geometric adaptive controller for a quadrotor unmanned aerial vehicle with artificial neural networks. It is assumed that the dynamics of a quadrotor is disturbed by arbitrary, unstructured forces and moments caused by wind. To address this, the proposed control system is augmented with multilayer neural networks, and the weights of neural networks are adjusted online according to an adaptive law.
Why It Matters
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Key Facts
- SectorDefense Tech
- Market—
- ImpactLow (42/100)
- SignalResearch