Auto-tuning parameters for motion cueing algorithms with mean-variance mapping optimization

Motion cueing algorithms (MCAs) are commonly used to drive physical simulators along offline-generated trajectories such as to produce proper motion cues (feeling of motion) to the passenger by a combination of tilt gravity and translational acceleration componemts (so-called linear specific forces or "g-forces") in the restricted workspace of driving simulators.
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