A Compound Controller of an Aerial Manipulator Based on Maxout Fuzzy Neural Network
The aerial manipulator is a complex system with high coupling and instability. The motion of the robotic arm will affect the self-stabilizing accuracy of the unmanned aerial vehicles (UAVs). To enhance the stability of the aerial manipulator, a composite controller combining conventional proportion...
Saved in:
| Main Authors: | Xinchen Qi, Jianwei Wu, Jiansheng Pan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/8898325 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Improving deep convolutional neural networks with mixed maxout units
by: Hui-zhen ZHAO, et al.
Published: (2017-07-01) -
Multi sensor based monitoring of paralyzed using Emperor Penguin Optimizer and Deep Maxout Network
by: Vijaya Gunturu, et al.
Published: (2025-06-01) -
Improved smart city security using a deep maxout network-based intrusion detection system with walrus optimization
by: Wahid Rajeh, et al.
Published: (2025-03-01) -
Hybrid disturbance observer and fuzzy logic controller for a new aerial manipulation system
by: Alaa Khalifa, et al.
Published: (2025-07-01) -
Learning Control of Fixed-Wing Unmanned Aerial Vehicles Using Fuzzy Neural Networks
by: Erdal Kayacan, et al.
Published: (2017-01-01)