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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: http://hdl.handle.net/21.11116/0000-0006-7B87-8 Version Permalink: http://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: 2020
 Publication Status: Published in print
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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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