E-LIB Suche - Ergebnisse für: Ziemann, Ingvar

1

A Note on the Smallest Eigenvalue of the Empirical Covarian..:

Ziemann, Ingvar
IEEE Transactions on Automatic Control. 69 (2024) 2 - p. 1372-1376 , 2024

Link: https://doi.org/10.1109/..

2

Statistical Learning Theory for Control: A Finite-Sample Pe..:

Tsiamis, Anastasios ; Ziemann, Ingvar ; Matni, Nikolai.
IEEE Control Systems. 43 (2023) 6 - p. 67-97 , 2023

Link: https://doi.org/10.1109/..

3

The Fundamental Limitations of Learning Linear-Quadratic Re..:

, In: 2023 62nd IEEE Conference on Decision and Control (CDC),

Lee, Bruce D. ; Ziemann, Ingvar ; Tsiamis, Anastasios.. - p. 4053-4060 , 2023

Link: https://doi.org/10.1109/..

4

A Tutorial on the Non-Asymptotic Theory of System Identific..:

, In: 2023 62nd IEEE Conference on Decision and Control (CDC),

Ziemann, Ingvar ; Tsiamis, Anastasios ; Lee, Bruce... - p. 8921-8939 , 2023

Link: https://doi.org/10.1109/..

5

How are policy gradient methods affected by the limits of c..:

, In: 2022 IEEE 61st Conference on Decision and Control (CDC),

Ziemann, Ingvar ; Tsiamis, Anastasios ; Sandberg, Henrik. - p. 5992-5999 , 2022

Link: https://doi.org/10.1109/..

6

Noninvasively improving the orbit-response matrix while con..:

Ziemann, Ingvar ; Ziemann, Volker
Physical Review Accelerators and Beams. 24 (2021) 7 - p. , 2021

Link: https://doi.org/10.1103/..

7

Parameter Privacy versus Control Performance: Fisher Inform..:

, In: 2020 American Control Conference (ACC),

Ziemann, Ingvar ; Sandberg, Henrik - p. 1259-1265 , 2020

Link: https://doi.org/10.23919..

8

A Tutorial on the Non-Asymptotic Theory of System Identific..:

Ziemann, Ingvar ; Tsiamis, Anastasios ; Lee, Bruce...
http://arxiv.org/abs/2309.03873. , 2023

Link: http://arxiv.org/abs/230..

9

The noise level in linear regression with dependent data:

Ziemann, Ingvar ; Tu, Stephen ; Pappas, George J.
http://arxiv.org/abs/2305.11165. , 2023

Link: http://arxiv.org/abs/230..

10

The Fundamental Limitations of Learning Linear-Quadratic Re..:

Lee, Bruce D ; Ziemann, Ingvar ; Tsiamis, Anastasios..
http://arxiv.org/abs/2303.15637. , 2023

Link: http://arxiv.org/abs/230..

11

Single Trajectory Nonparametric Learning of Nonlinear Dynam..:

Ziemann, Ingvar ; Sandberg, Henrik ; Matni, Nikolai
http://arxiv.org/abs/2202.08311. , 2022

Link: http://arxiv.org/abs/220..

12

Statistical Learning Theory for Control: A Finite Sample Pe..:

Tsiamis, Anastasios ; Ziemann, Ingvar ; Matni, Nikolai.
http://arxiv.org/abs/2209.05423. , 2022

Link: http://arxiv.org/abs/220..

13

How are policy gradient methods affected by the limits of c..:

Ziemann, Ingvar ; Tsiamis, Anastasios ; Sandberg, Henrik.
http://arxiv.org/abs/2206.06863. , 2022

Link: http://arxiv.org/abs/220..

14

Regret Lower Bounds for Learning Linear Quadratic Gaussian ..:

Ziemann, Ingvar ; Sandberg, Henrik
http://arxiv.org/abs/2201.01680. , 2022

Link: http://arxiv.org/abs/220..

15

Learning to Control Linear Systems can be Hard:

Tsiamis, Anastasios ; Ziemann, Ingvar ; Morari, Manfred..
http://arxiv.org/abs/2205.14035. , 2022

Link: http://arxiv.org/abs/220..