Optimal control for quadrotors UAV based on deep neural network approximations of stable manifold of HJB equation

Optimal control for quadrotors UAV based on deep neural network approximations of stable manifold of HJB equation

This paper proposes a deep learning algorithm for solving the infinite-horizon optimal feedback control problem of a quadrotor unmanned aerial vehicle (UAV). The optimal control is represented by the stable manifold of the Hamilton–Jacobi–Bellman (HJB) equation in a 12-dimensional state space. Moreo...

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Bibliographic Details
Main Author: Yuhuan Yue
Format: Article
Language:English
Published: Taylor & Francis Group 2025-04-01
Series:Automatika
Subjects:
Hamitlon–Jacobi–Bellman equation
optimal control
stable manifold
quadrotor UAV
deep learning algorithm
real-time control
Online Access:https://www.tandfonline.com/doi/10.1080/00051144.2025.2461827
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https://www.tandfonline.com/doi/10.1080/00051144.2025.2461827

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