• Corpus ID: 238259272

Efficient Modeling of Morphing Wing Flight Using Neural Networks and Cubature Rules

@article{Ghanem2021EfficientMO,
  title={Efficient Modeling of Morphing Wing Flight Using Neural Networks and Cubature Rules},
  author={Paul Ghanem and Yunus Bicer and Deniz Erdoğmuş and Alireza Ramezani},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.01057}
}
Fluidic locomotion of flapping Micro Aerial Vehicles (MAVs) can be very complex, particularly when the rules from insect flight dynamics (fast flapping dynamics and light wings) are not applicable. In these situations, widely used averaging techniques can fail quickly. The primary motivation is to find efficient models for complex forms of aerial locomotion where wings constitute a large part of body mass (i.e., dominant inertial effects) and deform in multiple directions (i.e., morphing wing… 

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