Artikel mit Open-Access-Mandaten - Max RevayWeitere Informationen
Nicht verfügbar: 2
Recurrent equilibrium networks: Unconstrained learning of stable and robust dynamical models
M Revay, R Wang, IR Manchester
2021 60th IEEE Conference on Decision and Control (CDC), 2282-2287, 2021
Mandate: Australian Research Council
Convex Clustering for Autocorrelated Time Series
M Revay, V Solo
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
Mandate: Australian Research Council
Verfügbar: 6
A convex parameterization of robust recurrent neural networks
M Revay, R Wang, IR Manchester
IEEE Control Systems Letters 5 (4), 1363-1368, 2020
Mandate: Australian Research Council
Recurrent equilibrium networks: Flexible dynamic models with guaranteed stability and robustness
M Revay, R Wang, IR Manchester
IEEE Transactions on Automatic Control, 2023
Mandate: Australian Research Council
Learning over all stabilizing nonlinear controllers for a partially-observed linear system
R Wang, NH Barbara, M Revay, IR Manchester
IEEE Control Systems Letters 7, 91-96, 2022
Mandate: Australian Research Council
Distributed nonlinear control design using separable control contraction metrics
HS Shiromoto, M Revay, IR Manchester
IEEE Transactions on Control of Network Systems 6 (4), 1281-1290, 2018
Mandate: Australian Research Council
Contraction-based methods for stable identification and robust machine learning: a tutorial
IR Manchester, M Revay, R Wang
2021 60th IEEE Conference on Decision and Control (CDC), 2955-2962, 2021
Mandate: Australian Research Council
Distributed identification of contracting and/or monotone network dynamics
M Revay, J Umenberger, IR Manchester
IEEE Transactions on Automatic Control 67 (7), 3410-3425, 2021
Mandate: Australian Research Council
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