Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired 
Embeddings for Nonlinear Canonical Hamiltonian Dynamics

Goyal, Pawan Kumar; Yildiz, Süleyman; Benner, Peter

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Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics

Goyal, P. K., Yildiz, S., & Benner, P. (in preparation). Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-B6D8-2 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-DBB7-E

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Creators:
Goyal, Pawan Kumar¹, Author
Yildiz, Süleyman¹, Author
Benner, Peter^{1, 2}, Author

Affiliations:
1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141
2Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156

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Dates: Created: 2023-08-26

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Identifiers: arXiv: 2308.13835

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