A control architecture for fixed-wing aircraft based on the convolutional neural networks
From MaRDI portal
Publication:6495003
DOI10.1016/J.JFRANKLIN.2024.106664MaRDI QIDQ6495003
Hadi Nobahari, Yousef Seifouripour
Publication date: 30 April 2024
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Artificial neural networks and deep learning (68T07) Nonlinear systems in control theory (93C10) Application models in control theory (93C95)
Cites Work
- Nonlinear adaptive fault-tolerant control for a quadrotor UAV based on immersion and invariance methodology
- Adaptive fault tolerant control for hypersonic flight vehicle system with state constraints
- A survey of learning-based control of robotic visual servoing systems
- Adaptive fault-tolerant attitude control for hypersonic reentry vehicle subject to complex uncertainties
- An unsupervised fault diagnosis method for rolling bearing using STFT and generative neural networks
- Robust adaptive neural network-based compensation control of a class of quadrotor aircrafts
- A survey on semi-supervised learning
- Trajectory tracking double two-loop adaptive neural network control for a quadrotor
- Model‐based vs data‐driven adaptive control: An overview
- A fuzzy adaptive backstepping control based on mass observer for trajectory tracking of a quadrotor UAV
- Adaptive Control for Systems with Time-Varying Parameters—A Survey
- A nonlinear model predictive controller based on the gravitational search algorithm
- DeepLOB: Deep Convolutional Neural Networks for Limit Order Books
- Mixing Adaptive Fault Tolerant Control of Quadrotor UAV
- Four-dimensional indoor visible light positioning: a deep-learning-based perspective
This page was built for publication: A control architecture for fixed-wing aircraft based on the convolutional neural networks