What Actually Works for Spacecraft Fault-Tolerant Control: An Honest Settled-Gate Benchmark of Learned and Classical Methods
Researchers benchmarked fault-tolerant control methods for spacecraft using rigorous testing criteria, finding that structured learning approaches combining gain estimation with analytic control laws significantly outperform classical and end-to-end learning methods on actuator faults, though constant bias faults remain unsolved without additional disturbance observers.