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A real-world data-free initialization method for neural network controllers: A case study of the multicopter interception control

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Transactions of the Institute of Measurement and Control

Published online on

Abstract

Transactions of the Institute of Measurement and Control, Ahead of Print.
Learning-based controller design methods, such as reinforcement learning and learning-based Lyapunov control, face significant challenges when applied to complex control tasks. Reinforcement learning methods typically demand substantial interaction data ...