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Texas A&M University College of Engineering

Space Vehicle Control and Management

Addressing Mars entry, Earth entry, Moon landing, spacecraft autonomous rendezvous and docking with the International Space Station, and celestial body exploration and rover control, training, and management. Techniques used are Adaptive Control, Vision Based Estimation and Relative Navigation, Machine Learning, Human-Machine Interaction.


2018 T3 Program: Mars Automated Terrain Analysis for Navigation and Science Targeting

Fault and Abort Tolerant Intelligent Ascent Control for Launch Vehicles

Flight Tests of an Unmanned Powered Parachute: A Validation Tool for GN&C Algorithms

Model Estimation for Adaptive Trajectory Reshaping and Control

Optimal Trajectories and Analysis Using Implicit Functions

Fault Tolerant Nonlinear Adaptive Control for Mars Atmospheric Flight, Phase I:

Synthesis and Evaluation of Robust Dynamic Inversion Flight Controllers for X-38 Class Re-Entry Vehicles

Evaluation of Dynamic Inversion as a Flight Control Methodology for Re-entry Vehicles

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