Max Revay

IEEE Trans. Autom. Control., May, 2024

2023

Learning Over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2023

RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Distributed Identification of Contracting and/or Monotone Network Dynamics.

[BibT_eX]

[DOI]

Jack Umenberger

IEEE Trans. Autom. Control., 2022

Convex Clustering for Autocorrelated Time Series.

[BibT_eX]

[DOI]

Victor Solo

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

A Convex Parameterization of Robust Recurrent Neural Networks.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2021

Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Lipschitz Bounded Equilibrium Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Convex Sets of Robust Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

2019

Distributed Nonlinear Control Design Using Separable Control Contraction Metrics.

[BibT_eX]

[DOI]

Humberto Stein Shiromoto