A conformal-prediction-based contraction controller guarantees, with probability 1-alpha, that the tracking error stays below an explicit exponential bound despite unknown nonlinear uncertainty.
Machine-learning appli- cations of algorithmic randomness,
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Conformal Contraction for Robust Nonlinear Control with Distribution-Free Uncertainty Quantification
A conformal-prediction-based contraction controller guarantees, with probability 1-alpha, that the tracking error stays below an explicit exponential bound despite unknown nonlinear uncertainty.