A local linearization of the implicit ARX predictor yields a Jacobian that approximates control-relevant uncertainty and shapes kernel regularization in data-driven MPC.
Ker- nel methods in system identification, machine learning and function estimation: A survey,
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Local Sensitivity Analysis for Kernel-Regularized ARX Predictors in Data-Driven Predictive Control
A local linearization of the implicit ARX predictor yields a Jacobian that approximates control-relevant uncertainty and shapes kernel regularization in data-driven MPC.