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A Tutorial on the Non-Asymptotic Theory of System Identification

A Tutorial on the Non-Asymptotic Theory of System Identification

7 September 2023
Ingvar M. Ziemann
Anastasios Tsiamis
Bruce D. Lee
Yassir Jedra
Nikolai Matni
George J. Pappas
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Papers citing "A Tutorial on the Non-Asymptotic Theory of System Identification"

16 / 16 papers shown
Title
Nonconvex Linear System Identification with Minimal State Representation
Nonconvex Linear System Identification with Minimal State Representation
Uday Kiran Reddy Tadipatri
B. Haeffele
Joshua Agterberg
Ingvar Ziemann
René Vidal
21
0
0
26 Apr 2025
Guarantees for Nonlinear Representation Learning: Non-identical
  Covariates, Dependent Data, Fewer Samples
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
Thomas T. Zhang
Bruce D. Lee
Ingvar M. Ziemann
George J. Pappas
Nikolai Matni
CML
OOD
31
0
0
15 Oct 2024
Learning Linear Dynamics from Bilinear Observations
Learning Linear Dynamics from Bilinear Observations
Yahya Sattar
Yassir Jedra
Sarah Dean
24
1
0
24 Sep 2024
Sample Complexity of the Sign-Perturbed Sums Method
Sample Complexity of the Sign-Perturbed Sums Method
Szabolcs Szentpéteri
Balázs Csanád Csáji
13
1
0
02 Sep 2024
Formal Verification and Control with Conformal Prediction
Formal Verification and Control with Conformal Prediction
Lars Lindemann
Yiqi Zhao
Xinyi Yu
George J. Pappas
Jyotirmoy V. Deshmukh
60
13
0
31 Aug 2024
Regret Analysis of Multi-task Representation Learning for
  Linear-Quadratic Adaptive Control
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control
Bruce D. Lee
Leonardo F. Toso
Thomas T. Zhang
James Anderson
Nikolai Matni
29
2
0
08 Jul 2024
Finite-Sample Identification of Linear Regression Models with
  Residual-Permuted Sums
Finite-Sample Identification of Linear Regression Models with Residual-Permuted Sums
Szabolcs Szentpéteri
Balázs Csanád Csáji
16
1
0
08 Jun 2024
Active Learning for Control-Oriented Identification of Nonlinear Systems
Active Learning for Control-Oriented Identification of Nonlinear Systems
Bruce D. Lee
Ingvar M. Ziemann
George J. Pappas
Nikolai Matni
21
5
0
13 Apr 2024
A least-square method for non-asymptotic identification in linear
  switching control
A least-square method for non-asymptotic identification in linear switching control
Haoyuan Sun
Ali Jadbabaie
19
0
0
11 Apr 2024
Rate-Optimal Non-Asymptotics for the Quadratic Prediction Error Method
Rate-Optimal Non-Asymptotics for the Quadratic Prediction Error Method
Charis J. Stamouli
Ingvar M. Ziemann
George J. Pappas
16
0
0
11 Apr 2024
Finite Sample Frequency Domain Identification
Finite Sample Frequency Domain Identification
Anastasios Tsiamis
M. Abdalmoaty
Roy S. Smith
John Lygeros
23
0
0
01 Apr 2024
Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss
Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss
Ingvar M. Ziemann
Stephen Tu
George J. Pappas
Nikolai Matni
41
8
0
08 Feb 2024
Nonasymptotic Regret Analysis of Adaptive Linear Quadratic Control with
  Model Misspecification
Nonasymptotic Regret Analysis of Adaptive Linear Quadratic Control with Model Misspecification
Bruce D. Lee
Anders Rantzer
Nikolai Matni
14
6
0
29 Dec 2023
Estimation Sample Complexity of a Class of Nonlinear Continuous-time
  Systems
Estimation Sample Complexity of a Class of Nonlinear Continuous-time Systems
Simon Kuang
Xinfan Lin
20
0
0
08 Dec 2023
Exact Recovery for System Identification with More Corrupt Data than
  Clean Data
Exact Recovery for System Identification with More Corrupt Data than Clean Data
Baturalp Yalcin
Haixiang Zhang
Javad Lavaei
Murat Arcak
22
5
0
17 May 2023
Learning without Concentration
Learning without Concentration
S. Mendelson
80
334
0
01 Jan 2014
1