Astrodynamics with Python book, software, and videos. Spacecraft trajectory and attitude modeling and simulation
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Updated
Jul 30, 2024 - Python
Astrodynamics with Python book, software, and videos. Spacecraft trajectory and attitude modeling and simulation
Development of star simulator software for star sensor research.
FlexibleSpacecraft.jl is an Open Source Spacecraft Attitude-Structure Coupling Simulator developed in Julia Language. This project is quite new and under active initial development for open-source release.
Lecture notes and simulation software on the courses and book by Hanspeter Schaub.
Mostly software recreations of published works.
Meta-Reinforcement Learning for Spacecraft Proximity Operations Guidance and Control in Cislunar Space
Repository of codes for my learning journey in space dynamics and control
MATLAB files and Simulink models for the course of Spacecraft Dynamics and Control, Sharif University of Technology.
The Future of Space Travel: Quantum-Powered, AI-Driven Propulsion
A Matlab script to have an initial assessment of the spacecraft magnetorquers flight dynamics
Executable Textbook for Spacecraft Dynamics
Designing an interplanetary trajectory to planet Mars 🌕
Satellite Attitude Animation and Simulator (SAAS)
WORK IN PROGRESS - Within course SD2910 of MSc KTH, relying on book.
Code base for disturbance-robust backup control barrier functions (DR-bCBFs).
HAL, the Hybrid Artificial-Intelligence Layer, is the future of artificial intelligence. It's a layered approach that combines different AI techniques to create a more complex and adaptable system. HAL's layers work together to gather data from the environment, interpret it, learn from it, and make informed decisions based on that knowledge.
Main repository for the codes for the final project of the course ' Spacecraft attitude dynamics' at Politecnico di Milano
Spacecraft Guidance and Navigation Assignments from Politecnico Di Milano 2022
For fruition.
These are all the astrophysics projects in my final year. My final-year project focuses on orbital transfer optimisation using gradient descent and the Markov Chain Monte Carlo method for uncertainty evaluation.
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