An adaptive homotopy controller for low-thrust rendezvous uses MTF-augmented Kalman filter confidence to modulate control smoothness, reducing terminal miss distances by two orders of magnitude under degraded measurements.
Advances in Trajectory Optimization for Space Vehicle Control
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Extends lossless convexification theory for linear time-varying systems with discrete inputs by proving normality preservation under epigraph reformulation and geometric conditions that guarantee the relaxed solution satisfies the original discrete constraints exactly.
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Tightly-Coupled Estimation and Guidance for Robust Low-Thrust Rendezvous via Adaptive Homotopy
An adaptive homotopy controller for low-thrust rendezvous uses MTF-augmented Kalman filter confidence to modulate control smoothness, reducing terminal miss distances by two orders of magnitude under degraded measurements.
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Geometric Conditions for Lossless Convexification in Linear Optimal Control with Discrete-Valued Inputs: Real-Time Implementation for Spacecraft Rendezvous
Extends lossless convexification theory for linear time-varying systems with discrete inputs by proving normality preservation under epigraph reformulation and geometric conditions that guarantee the relaxed solution satisfies the original discrete constraints exactly.