Optimized neural network based sliding mode control for quadrotors with disturbances
In this paper, optimized radial basis function neural networks (RBFNNs) are employed to construct a sliding mode control (SMC) strategy for quadrotors with unknown disturbances. At first, the dynamics model of the controlled quadrotor is built, where some unknown external disturbances are considered...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2021-04-01
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| Series: | Mathematical Biosciences and Engineering |
| Subjects: | |
| Online Access: | http://www.aimspress.com/article/doi/10.3934/mbe.2021092?viewType=HTML |