Optimal Reusable Rocket Landing Guidance: A Cutting-Edge Approach Integrating Scientific Machine Learning and Enhanced Neural Networks

Optimal Reusable Rocket Landing Guidance: A Cutting-Edge Approach Integrating Scientific Machine Learning and Enhanced Neural Networks

This study presents an innovative approach that utilizes scientific machine learning and two types of enhanced neural networks for modeling a parametric guidance algorithm within the framework of ordinary differential equations to optimize the landing phase of reusable rockets. Our approach addresse...

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Bibliographic Details
Main Authors: Ugurcan Celik, Mustafa Umut Demirezen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Adaptive activation functions
guidance
navigation
optimal control
scientific machine learning
quadratic residual neural networks
Online Access:https://ieeexplore.ieee.org/document/10415408/

Internet

https://ieeexplore.ieee.org/document/10415408/

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