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Regularized linear system identification using atomic, nuclear and
  kernel-based norms: the role of the stability constraint

Regularized linear system identification using atomic, nuclear and kernel-based norms: the role of the stability constraint

2 July 2015
G. Pillonetto
Tianshi Chen
A. Chiuso
G. Nicolao
L. Ljung
ArXiv (abs)PDFHTML

Papers citing "Regularized linear system identification using atomic, nuclear and kernel-based norms: the role of the stability constraint"

14 / 14 papers shown
Hankel Singular Value Regularization for Highly Compressible State Space Models
Hankel Singular Value Regularization for Highly Compressible State Space Models
Paul Schwerdtner
Jules Berman
Benjamin Peherstorfer
251
2
0
27 Oct 2025
Frequency Response Identification of Low-Order Systems: Finite-Sample Analysis
Frequency Response Identification of Low-Order Systems: Finite-Sample Analysis
Arya Honarpisheh
Mario Sznaier
193
0
0
23 Aug 2025
Model order reduction of deep structured state-space models: A
  system-theoretic approach
Model order reduction of deep structured state-space models: A system-theoretic approach
Marco Forgione
Manas Mejari
Dario Piga
157
7
0
21 Mar 2024
Error Bounds for Kernel-Based Linear System Identification with Unknown
  Hyperparameters
Error Bounds for Kernel-Based Linear System Identification with Unknown HyperparametersIEEE Control Systems Letters (L-CSS), 2023
Mingzhou Yin
Roy S. Smith
223
0
0
17 Mar 2023
Deep networks for system identification: a Survey
Deep networks for system identification: a Survey
G. Pillonetto
Aleksandr Aravkin
Daniel Gedon
L. Ljung
Antônio H. Ribeiro
Thomas B. Schon
OOD
369
102
0
30 Jan 2023
Transformers as Algorithms: Generalization and Stability in In-context
  Learning
Transformers as Algorithms: Generalization and Stability in In-context LearningInternational Conference on Machine Learning (ICML), 2023
Yingcong Li
M. E. Ildiz
Dimitris Papailiopoulos
Samet Oymak
422
237
0
17 Jan 2023
Robust Bayesian Subspace Identification for Small Data Sets
Robust Bayesian Subspace Identification for Small Data Sets
A. R. Mesquita
153
0
0
29 Dec 2022
Likelihood-based generalization of Markov parameter estimation and
  multiple shooting objectives in system identification
Likelihood-based generalization of Markov parameter estimation and multiple shooting objectives in system identification
Nicholas Galioto
Alex Arkady Gorodetsky
442
1
0
20 Dec 2022
Infinite-Dimensional Sparse Learning in Linear System Identification
Infinite-Dimensional Sparse Learning in Linear System IdentificationIEEE Conference on Decision and Control (CDC), 2022
Mingzhou Yin
Mehmet Tolga Akan
A. Iannelli
Roy S. Smith
212
2
0
28 Mar 2022
Mathematical foundations of stable RKHSs
Mathematical foundations of stable RKHSs
M. Bisiacco
G. Pillonetto
187
28
0
06 May 2020
The Generalized Cross Validation Filter
The Generalized Cross Validation Filter
Giulio Bottegal
G. Pillonetto
199
17
0
08 Jun 2017
The interplay between system identification and machine learning
The interplay between system identification and machine learning
G. Pillonetto
296
4
0
29 Dec 2016
Regularization and Bayesian Learning in Dynamical Systems: Past, Present
  and Future
Regularization and Bayesian Learning in Dynamical Systems: Past, Present and Future
A. Chiuso
227
60
0
04 Nov 2015
Maximum Entropy Vector Kernels for MIMO system identification
Maximum Entropy Vector Kernels for MIMO system identification
G. Prando
G. Pillonetto
A. Chiuso
340
18
0
12 Aug 2015
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