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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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Zainab Akhtar (15192184) (author)
مؤلفون آخرون:	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)
منشور في:	2024
الموضوعات:	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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Incorporation of Robust Sliding Mode Control and Adaptive Multi-Layer Neural Network-Based Observer for Unmanned Aerial Vehicles

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