Structure-Aware Spatial Kernels for Gaussian Process Distributed Port-Hamiltonian Systems
A structure-aware kernel design is presented that removes irrelevant state coordinates and decouples state and spatial dependencies through a tensor-product covariance and allows qualitative knowledge of spatial heterogeneity to be incorporated by selecting an appropriate spatial kernel without requiring an analytical...