PD+SMC Quadrotor Control for Altitude and Crack Recognition Using Deep Learning
- DOI
- 10.1007/s12555-018-0852-9
- Published
- 2019-11-06
- Container
- International Journal of Control, Automation and Systems
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s12555-018-0852-9,
title = {PD+SMC Quadrotor Control for Altitude and Crack Recognition Using Deep Learning},
author = {J. M. Vazquez-Nicolas and Erik Zamora and Iván González-Hernández and Rogelio Lozano and Humberto Sossa},
year = {2019},
journal = {International Journal of Control, Automation and Systems},
doi = {10.1007/s12555-018-0852-9},
url = {https://doi.org/10.1007/s12555-018-0852-9}
}RIS
TY - JOUR TI - PD+SMC Quadrotor Control for Altitude and Crack Recognition Using Deep Learning AU - J. M. Vazquez-Nicolas AU - Erik Zamora AU - Iván González-Hernández AU - Rogelio Lozano AU - Humberto Sossa PY - 2019 JO - International Journal of Control, Automation and Systems DO - 10.1007/s12555-018-0852-9 UR - https://doi.org/10.1007/s12555-018-0852-9 ER -
APA
Vazquez-Nicolas, J. M., Zamora, E., González-Hernández, I., Lozano, R., & Sossa, H. (2019). PD+SMC Quadrotor Control for Altitude and Crack Recognition Using Deep Learning. International Journal of Control, Automation and Systems. https://doi.org/10.1007/s12555-018-0852-9
Source records
- crossref · retrieved 2026-09-26T09:39:24.471Z