A MISOCP-SCP two-stage framework enables solar sail station-keeping in eLLOs for at least one year without propellant by leveraging predictable eccentricity vector behavior.
A Reinforcement Learning Approach for Transient Control of Liquid Rocket Engines.IEEE Transactions on Aerospace and Electronic Systems, 57(5):2938–2952, October 2021
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Reformulating DRL in a moving reference frame enables reliable control of rapid transitions between mode-locked states in a 1D RDE model by separating fast detonation propagation from slower operating-mode dynamics.
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Station-Keeping Approach for Extremely Low Lunar Orbits with Solar Sailing
A MISOCP-SCP two-stage framework enables solar sail station-keeping in eLLOs for at least one year without propellant by leveraging predictable eccentricity vector behavior.
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Timescale Separation Enables Deep Reinforcement Learning Control of Rotating Detonation Engine Mode Transitions
Reformulating DRL in a moving reference frame enables reliable control of rapid transitions between mode-locked states in a 1D RDE model by separating fast detonation propagation from slower operating-mode dynamics.