Incorporation of Robust Sliding Mode Control and Adaptive Multi-Layer Neural Network-Based Observer for Unmanned Aerial Vehicles

Incorporation of Robust Sliding Mode Control and Adaptive Multi-Layer Neural Network-Based Observer for Unmanned Aerial Vehicles

<p dir="ltr">The control and state estimation of Unmanned Aerial Vehicles (UAVs) provide significant challenges due to their complex and nonlinear dynamics, as well as uncertainties arising from factors such as sensor noise, wind gusts, and parameter fluctuations. Neural network-base...

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Bibliographic Details
Main Author: Zainab Akhtar (15192184) (author)
Other Authors: Syed Abbas Zilqurnain Naqvi (22046900) (author), Mirza Tariq Hamayun (7688432) (author), Muhammad Ahsan (3744803) (author), Ahsan Nadeem (22046903) (author), S. M. Muyeen (14778337) (author), Arman Oshnoei (22046906) (author)
Published: 2024
Subjects:
Engineering
Aerospace engineering
Control engineering, mechatronics and robotics
Back-propagation algorithm
multiple hidden layers perceptron (MLP)
neural network (NN) observer
sliding mode controller (SMC)
sliding mode observer
UAVs
Observers
Quadrotors
Noise measurement
Autonomous aerial vehicles
Neural networks
Kalman filters
Uncertainty
Backpropagation
Sliding mode control
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