Observer-Based Deep Reinforcement Learning for Robust Missile Guidance and Control

Observer-Based Deep Reinforcement Learning for Robust Missile Guidance and Control

Conventional missile guidance and control systems are difficult to adapt to complex environments, and new missile guidance systems with fast and accurate decision-making capabilities and high robustness are urgently needed to meet the needs of current and future military and aerospace missions. This...

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Bibliographic Details
Main Authors: Wenwen Wang, Zhihua Chen
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Deep reinforcement learning
missile guidance
extended state observer
leaky proximal policy optimization
Online Access:https://ieeexplore.ieee.org/document/10887184/
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https://ieeexplore.ieee.org/document/10887184/

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