E-LIB Suche - Ergebnisse für: Revay, Max

1

Recurrent Equilibrium Networks: Flexible Dynamic Models Wit..:

Revay, Max ; Wang, Ruigang ; Manchester, Ian R.
IEEE Transactions on Automatic Control. 69 (2024) 5 - p. 2855-2870 , 2024

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

2

Learning Over All Stabilizing Nonlinear Controllers for a P..:

Wang, Ruigang ; Barbara, Nicholas H. ; Revay, Max.
IEEE Control Systems Letters. 7 (2023) - p. 91-96 , 2023

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

3

Convex Clustering for Autocorrelated Time Series:

, In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Revay, Max ; Solo, Victor - p. 3313-3317 , 2022

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

4

Distributed Identification of Contracting and/or Monotone N..:

Revay, Max ; Umenberger, Jack ; Manchester, Ian R.
IEEE Transactions on Automatic Control. 67 (2022) 7 - p. 3410-3425 , 2022

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

5

Contraction-Based Methods for Stable Identification and Rob..:

, In: 2021 60th IEEE Conference on Decision and Control (CDC),

Manchester, Ian R. ; Revay, Max ; Wang, Ruigang - p. 2955-2962 , 2021

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

6

Distributed Nonlinear Control Design Using Separable Contro..:

Shiromoto, Humberto Stein ; Revay, Max ; Manchester, Ian R.
IEEE Transactions on Control of Network Systems. 6 (2019) 4 - p. 1281-1290 , 2019

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

7

RobustNeuralNetworks.jl: a Package for Machine Learning and..:

Barbara, Nicholas H ; Revay, Max ; Wang, Ruigang..
http://arxiv.org/abs/2306.12612. , 2023

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

8

Learning over All Stabilizing Nonlinear Controllers for a P..:

Wang, Ruigang ; Barbara, Nicholas H ; Revay, Max.
http://arxiv.org/abs/2112.04219. , 2021

Link: http://arxiv.org/abs/211..

9

Recurrent Equilibrium Networks: Flexible Dynamic Models wit..:

Revay, Max ; Wang, Ruigang ; Manchester, Ian R
http://arxiv.org/abs/2104.05942. , 2021

Link: http://arxiv.org/abs/210..

10

Distributed Identification of Contracting and/or Monotone N..:

Revay, Max ; Umenberger, Jack ; Manchester, Ian R
http://arxiv.org/abs/2107.14309. , 2021

Link: http://arxiv.org/abs/210..

11

Contraction-Based Methods for Stable Identification and Rob..:

Manchester, Ian R ; Revay, Max ; Wang, Ruigang
http://arxiv.org/abs/2110.00207. , 2021

Link: http://arxiv.org/abs/211..

12

A Convex Parameterization of Robust Recurrent Neural Networ..:

Revay, Max ; Wang, Ruigang ; Manchester, Ian R
http://arxiv.org/abs/2004.05290. , 2020

Link: http://arxiv.org/abs/200..

13

Lipschitz Bounded Equilibrium Networks:

Revay, Max ; Wang, Ruigang ; Manchester, Ian R
http://arxiv.org/abs/2010.01732. , 2020

Link: http://arxiv.org/abs/201..

14

Contracting Implicit Recurrent Neural Networks: Stable Mode..:

Revay, Max ; Manchester, Ian R
http://arxiv.org/abs/1912.10402. , 2019

Link: http://arxiv.org/abs/191..

15

Distributed Nonlinear Control Design using Separable Contro..:

Shiromoto, Humberto Stein ; Revay, Max ; Manchester, Ian R
http://arxiv.org/abs/1810.04794. , 2018

Link: http://arxiv.org/abs/181..