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Deep Subspace Encoders for Nonlinear System Identification

Deep Subspace Encoders for Nonlinear System Identification

26 October 2022
G. Beintema
Maarten Schoukens
R. Tóth
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Papers citing "Deep Subspace Encoders for Nonlinear System Identification"

8 / 8 papers shown
Title
Efficient identification of linear, parameter-varying, and nonlinear systems with noise models
Efficient identification of linear, parameter-varying, and nonlinear systems with noise models
Alberto Bemporad
Roland Tóth
19
0
0
16 Apr 2025
Manifold meta-learning for reduced-complexity neural system identification
Manifold meta-learning for reduced-complexity neural system identification
Marco Forgione
Ankush Chakrabarty
Dario Piga
Matteo Rufolo
Alberto Bemporad
38
0
0
16 Apr 2025
Enhanced Transformer architecture for in-context learning of dynamical
  systems
Enhanced Transformer architecture for in-context learning of dynamical systems
Matteo Rufolo
Dario Piga
Gabriele Maroni
Marco Forgione
31
0
0
04 Oct 2024
Online Control-Informed Learning
Online Control-Informed Learning
Zihao Liang
Tianyu Zhou
Zehui Lu
Shaoshuai Mou
33
1
0
04 Oct 2024
On the adaptation of in-context learners for system identification
On the adaptation of in-context learners for system identification
Dario Piga
F. Pura
Marco Forgione
18
3
0
07 Dec 2023
Stable Linear Subspace Identification: A Machine Learning Approach
Stable Linear Subspace Identification: A Machine Learning Approach
L. D. Natale
M. Zakwan
B. Svetozarevic
P. Heer
Giancarlo Ferrari-Trecate
Colin N. Jones
23
5
0
06 Nov 2023
From system models to class models: An in-context learning paradigm
From system models to class models: An in-context learning paradigm
Marco Forgione
F. Pura
Dario Piga
35
12
0
25 Aug 2023
Initialization Approach for Nonlinear State-Space Identification via the
  Subspace Encoder Approach
Initialization Approach for Nonlinear State-Space Identification via the Subspace Encoder Approach
Rishi Ramkannan
G. Beintema
R. Tóth
Maarten Schoukens
19
0
0
04 Apr 2023
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