Identification of Low-Dimensional Nonlinear Dynamics from High-Dimensional Simulated and Real-World Data

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Titel Identification of Low-Dimensional Nonlinear Dynamics from High-Dimensional Simulated and Real-World Data
Medien In: Brito Palma, L., Neves-Silva, R., Gomes, L. (eds) CONTROLO 2022. CONTROLO 2022. Lecture Notes in Electrical Engineering, Springer, Cham
Verlag Brito Palma, L., Neves-Silva, R., Gomes, L. (eds); Springer, Cham
Band 930
ISBN 978-3-031-10046-8
Verfasser Chiara Paglia, M.Sc. Annika Stiehl, Prof. Dr. Christian Uhl
Seiten 205-213
Veröffentlichungsdatum 02.07.2022
Zitation Paglia, Chiara; Stiehl, Annika; Uhl, Christian (2022): Identification of Low-Dimensional Nonlinear Dynamics from High-Dimensional Simulated and Real-World Data. In: Brito Palma, L., Neves-Silva, R., Gomes, L. (eds) CONTROLO 2022. CONTROLO 2022. Lecture Notes in Electrical Engineering, Springer, Cham 930, 205-213. DOI: 10.1007/978-3-031-10047-5_18