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Non-asymptotic Identification of LTI Systems from a Single Trajectory

Non-asymptotic Identification of LTI Systems from a Single Trajectory

14 June 2018
Samet Oymak
N. Ozay
ArXivPDFHTML

Papers citing "Non-asymptotic Identification of LTI Systems from a Single Trajectory"

37 / 37 papers shown
Title
Learning Linearized Models from Nonlinear Systems under Initialization Constraints with Finite Data
Learning Linearized Models from Nonlinear Systems under Initialization Constraints with Finite Data
Lei Xin
B. She
Qi Dou
George Chiu
S. Sundaram
59
0
0
08 May 2025
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
38
0
0
26 Apr 2025
Boosting-Enabled Robust System Identification of Partially Observed LTI Systems Under Heavy-Tailed Noise
Boosting-Enabled Robust System Identification of Partially Observed LTI Systems Under Heavy-Tailed Noise
Vinay Kanakeri
Aritra Mitra
24
0
0
25 Apr 2025
Learning Dynamical Systems by Leveraging Data from Similar Systems
Learning Dynamical Systems by Leveraging Data from Similar Systems
Lei Xin
Lintao Ye
G. Chiu
S. Sundaram
41
10
0
20 Jan 2025
Learning Linear Dynamics from Bilinear Observations
Learning Linear Dynamics from Bilinear Observations
Yahya Sattar
Yassir Jedra
Sarah Dean
29
1
0
24 Sep 2024
Learning Unstable Continuous-Time Stochastic Linear Control Systems
Learning Unstable Continuous-Time Stochastic Linear Control Systems
Reza Sadeghi Hafshejani
Mohamad Kazem Shirani Fradonbeh
41
0
0
17 Sep 2024
Learning Low-dimensional Latent Dynamics from High-dimensional
  Observations: Non-asymptotics and Lower Bounds
Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds
Yuyang Zhang
Shahriar Talebi
Na Li
39
1
0
09 May 2024
Randomization Inference When N Equals One
Randomization Inference When N Equals One
Tengyuan Liang
Benjamin Recht
CML
29
5
0
25 Oct 2023
A Tutorial on the Non-Asymptotic Theory of System Identification
A Tutorial on the Non-Asymptotic Theory of System Identification
Ingvar M. Ziemann
Anastasios Tsiamis
Bruce D. Lee
Yassir Jedra
Nikolai Matni
George J. Pappas
30
25
0
07 Sep 2023
Learning Personalized Models with Clustered System Identification
Learning Personalized Models with Clustered System Identification
Leonardo F. Toso
Hang Wang
James Anderson
26
9
0
03 Apr 2023
Non-Asymptotic Pointwise and Worst-Case Bounds for Classical Spectrum
  Estimators
Non-Asymptotic Pointwise and Worst-Case Bounds for Classical Spectrum Estimators
Andrew G. Lamperski
38
6
0
21 Mar 2023
Learning Transition Operators From Sparse Space-Time Samples
Learning Transition Operators From Sparse Space-Time Samples
C. Kümmerle
Mauro Maggioni
Sui Tang
26
1
0
01 Dec 2022
FedSysID: A Federated Approach to Sample-Efficient System Identification
FedSysID: A Federated Approach to Sample-Efficient System Identification
Han Wang
Leonardo F. Toso
James Anderson
FedML
24
17
0
25 Nov 2022
Dynamical Linear Bandits
Dynamical Linear Bandits
Marco Mussi
Alberto Maria Metelli
Marcello Restelli
38
2
0
16 Nov 2022
Finite Sample Guarantees for Distributed Online Parameter Estimation
  with Communication Costs
Finite Sample Guarantees for Distributed Online Parameter Estimation with Communication Costs
Lei Xin
G. Chiu
S. Sundaram
11
0
0
12 Sep 2022
Finite Sample Identification of Bilinear Dynamical Systems
Finite Sample Identification of Bilinear Dynamical Systems
Yahya Sattar
Samet Oymak
N. Ozay
21
13
0
29 Aug 2022
Distributed Online System Identification for LTI Systems Using Reverse
  Experience Replay
Distributed Online System Identification for LTI Systems Using Reverse Experience Replay
Ting-Jui Chang
Shahin Shahrampour
OffRL
17
3
0
03 Jul 2022
Learning to Control Linear Systems can be Hard
Learning to Control Linear Systems can be Hard
Anastasios Tsiamis
Ingvar M. Ziemann
M. Morari
Nikolai Matni
George J. Pappas
16
14
0
27 May 2022
Identifying the Dynamics of a System by Leveraging Data from Similar
  Systems
Identifying the Dynamics of a System by Leveraging Data from Similar Systems
Lei Xin
Lintao Ye
G. Chiu
S. Sundaram
14
24
0
11 Apr 2022
Learning the Dynamics of Autonomous Linear Systems From Multiple
  Trajectories
Learning the Dynamics of Autonomous Linear Systems From Multiple Trajectories
Lei Xin
G. Chiu
S. Sundaram
28
9
0
24 Mar 2022
Learning Mixtures of Linear Dynamical Systems
Learning Mixtures of Linear Dynamical Systems
Yanxi Chen
H. Vincent Poor
20
17
0
26 Jan 2022
Online Learning for Predictive Control with Provable Regret Guarantees
Online Learning for Predictive Control with Provable Regret Guarantees
Deepan Muthirayan
Jianjun Yuan
D. Kalathil
Pramod P. Khargonekar
24
4
0
30 Nov 2021
Deep inference of latent dynamics with spatio-temporal super-resolution
  using selective backpropagation through time
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time
Feng Zhu
Andrew R. Sedler
Harrison A. Grier
Nauman Ahad
Mark A. Davenport
Matthew T. Kaufman
Andrea Giovannucci
C. Pandarinath
24
10
0
29 Oct 2021
Regret Analysis of Distributed Online LQR Control for Unknown LTI
  Systems
Regret Analysis of Distributed Online LQR Control for Unknown LTI Systems
Ting-Jui Chang
Shahin Shahrampour
24
8
0
15 May 2021
PAC-Bayesian theory for stochastic LTI systems
PAC-Bayesian theory for stochastic LTI systems
Deividas Eringis
J. Leth
Zheng-Hua Tan
Rafal Wisniewski
Alireza Fakhrizadeh Esfahani
Mihaly Petreczky
29
9
0
23 Mar 2021
Task-Optimal Exploration in Linear Dynamical Systems
Task-Optimal Exploration in Linear Dynamical Systems
Andrew Wagenmaker
Max Simchowitz
Kevin G. Jamieson
12
18
0
10 Feb 2021
Improved rates for prediction and identification of partially observed
  linear dynamical systems
Improved rates for prediction and identification of partially observed linear dynamical systems
Holden Lee
21
10
0
19 Nov 2020
Learning Partially Observed Linear Dynamical Systems from Logarithmic
  Number of Samples
Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples
S. Fattahi
13
14
0
08 Oct 2020
Active Learning for Nonlinear System Identification with Guarantees
Active Learning for Nonlinear System Identification with Guarantees
Horia Mania
Michael I. Jordan
Benjamin Recht
41
101
0
18 Jun 2020
Logarithmic Regret Bound in Partially Observable Linear Dynamical
  Systems
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems
Sahin Lale
Kamyar Azizzadenesheli
B. Hassibi
Anima Anandkumar
32
92
0
25 Mar 2020
Finite-time Identification of Stable Linear Systems: Optimality of the
  Least-Squares Estimator
Finite-time Identification of Stable Linear Systems: Optimality of the Least-Squares Estimator
Yassir Jedra
Alexandre Proutière
21
43
0
17 Mar 2020
Improper Learning for Non-Stochastic Control
Improper Learning for Non-Stochastic Control
Max Simchowitz
Karan Singh
Elad Hazan
13
153
0
25 Jan 2020
Sample Complexity of Kalman Filtering for Unknown Systems
Sample Complexity of Kalman Filtering for Unknown Systems
Anastasios Tsiamis
Nikolai Matni
George J. Pappas
27
53
0
27 Dec 2019
Distributed Reinforcement Learning for Decentralized Linear Quadratic
  Control: A Derivative-Free Policy Optimization Approach
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach
Yingying Li
Yujie Tang
Runyu Zhang
Na Li
18
101
0
19 Dec 2019
From self-tuning regulators to reinforcement learning and back again
From self-tuning regulators to reinforcement learning and back again
Nikolai Matni
Alexandre Proutière
Anders Rantzer
Stephen Tu
13
88
0
27 Jun 2019
Sample Complexity Lower Bounds for Linear System Identification
Sample Complexity Lower Bounds for Linear System Identification
Yassir Jedra
Alexandre Proutière
11
40
0
25 Mar 2019
Sample Complexity of Sparse System Identification Problem
Sample Complexity of Sparse System Identification Problem
S. Fattahi
Somayeh Sojoudi
16
12
0
21 Mar 2018
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