ANFIS based quadrotor drone altitude control implementation on Raspberry Pi platform
Author:
Publisher
Springer Science and Business Media LLC
Subject
Surfaces, Coatings and Films,Hardware and Architecture,Signal Processing
Link
http://link.springer.com/article/10.1007/s10470-018-1159-8/fulltext.html
Reference11 articles.
1. Babu, V. M., Das, K., & Kumar, S. (2017). Designing of self tuning PID controller for AR drone quadrotor. In 2017 18th international conference on advanced robotics (ICAR) (pp. 167–172). https://doi.org/10.1109/ICAR.2017.8023513 .
2. Bhatkhande, P., & Havens, T. C. (2014). Real time fuzzy controller for quadrotor stability control. In 2014 IEEE international conference on fuzzy systems (FUZZ-IEEE) (pp. 913–919). https://doi.org/10.1109/FUZZ-IEEE.2014.6891787 .
3. Eressa, M. R., Zheng, D., & Han, M. (2016). PID and neural net controller performance comparison in UAV pitch attitude control. In 2016 IEEE international conference on systems, man, and cybernetics (SMC) (pp. 000762–000767). https://doi.org/10.1109/SMC.2016.7844333 .
4. Jang, J. S. R. (1993). Anfis: Adaptive-network-based fuzzy inference system. IEEE Transactions on Systems, Man, and Cybernetics, 23(3), 665–685. https://doi.org/10.1109/21.256541 .
5. Jang, J. S. R., & Sun, C. T. (1995). Neuro-fuzzy modeling and control. Proceedings of the IEEE, 83(3), 378–406. https://doi.org/10.1109/5.364486 .
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