Learning block-oriented nonlinear models of dynamical systems from data

Gosea, Ion Victor; Antoulas, Athanasios C.

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Learning block-oriented nonlinear models of dynamical systems from data

Gosea, I. V., & Antoulas, A. C. (2020). Learning block-oriented nonlinear models of dynamical systems from data. Poster presented at Workshop on Algorithms for Dimension and Complexity Reduction, ICERM, Providence, RI, USA.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-7B87-8 Version Permalink: https://hdl.handle.net/21.11116/0000-0006-7B88-7

Genre: Poster

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Creators:
Gosea, Ion Victor¹, Author
Antoulas, Athanasios C.^{1, 2, 3}, Author

Affiliations:
1Max Planck Fellow Group for Data-Driven System Reduction and Identification, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_2453691
2Rice University, ou_persistent22
3Baylor College of Medicine, ou_persistent22

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Dates: Date issued: 2020

Publication Status: Issued

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Identifiers: URI: https://icerm.brown.edu/programs/sp-s20/w2/#postersession

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Title: Workshop on Algorithms for Dimension and Complexity Reduction

Place of Event: ICERM, Providence, RI, USA

Start-/End Date: 2020-03-23 - 2020-03-27

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