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Pruning deep neural networks generates a sparse, bio-inspired nonlinear controller for insect flight
Insect flight is a strongly nonlinear and actuated dynamical system. As such, strategies for understanding its control have typically relied on either model-based methods or linearizations thereof. Here we develop a framework that combines model predictive control on an established flight dynamics m...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9543948/ https://www.ncbi.nlm.nih.gov/pubmed/36166481 http://dx.doi.org/10.1371/journal.pcbi.1010512 |