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A Tutorial on Concentration Bounds for System Identification

A Tutorial on Concentration Bounds for System Identification

27 June 2019
Nikolai Matni
Stephen Tu
ArXivPDFHTML

Papers citing "A Tutorial on Concentration Bounds for System Identification"

7 / 7 papers shown
Title
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
Statistical Learning Theory for Control: A Finite Sample Perspective
Statistical Learning Theory for Control: A Finite Sample Perspective
Anastasios Tsiamis
Ingvar M. Ziemann
Nikolai Matni
George J. Pappas
28
73
0
12 Sep 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
21
14
0
27 May 2022
Data-Driven Reachability Analysis from Noisy Data
Data-Driven Reachability Analysis from Noisy Data
Amr Alanwar
Anne Koch
Frank Allgöwer
Karl H. Johansson
32
56
0
15 May 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
Machine learning and control engineering: The model-free case
Machine learning and control engineering: The model-free case
M. Fliess
Cédric Join
23
13
0
10 Jun 2020
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
27
88
0
27 Jun 2019
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