Motion tomography via occupation kernels

DOI10.3934/JCD.2021026zbMath1484.92050arXiv2101.02677OpenAlexW4205836926MaRDI QIDQ2117398

Joel A. Rosenfeld, Benjamin P. Russo, Dongsik Chang, Rushikesh Kamalapurkar

Publication date: 21 March 2022

Published in: Journal of Computational Dynamics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2101.02677

zbMATH Keywords

system identificationreproducing kernel Hilbert spacesoccupation kernelsmotion tomography

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) System identification (93B30) Control/observation systems in abstract spaces (93C25) Hilbert spaces with reproducing kernels (= (proper) functional Hilbert spaces, including de Branges-Rovnyak and other structured spaces) (46E22)

Related Items (2)

Singular Dynamic Mode Decomposition ⋮ A tree-based distributed method for cooperative flow field estimation

Cites Work

• Dynamic mode decomposition for continuous time systems with the Liouville operator
• Theory of Reproducing Kernels
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