By restructuring the product-kernel Gram matrix, the authors derive a computationally efficient nonlinear data-enabled predictive controller that runs much faster than stacked-kernel baselines.
A note on persistency of excitation,
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A Kernelized Operator Approach to Nonlinear Data-Enabled Predictive Control
By restructuring the product-kernel Gram matrix, the authors derive a computationally efficient nonlinear data-enabled predictive controller that runs much faster than stacked-kernel baselines.