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06/22/2023
RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness
Neural networks are typically sensitive to small input perturbations, le...
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12/08/2021
Learning over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System
We propose a parameterization of nonlinear output feedback controllers f...
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07/29/2021
Distributed Identification of Contracting and/or Monotone Network Dynamics
This paper proposes methods for identification of large-scale networked ...
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04/13/2021
Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models
This paper introduces recurrent equilibrium networks (RENs), a new class...
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10/05/2020
Lipschitz Bounded Equilibrium Networks
This paper introduces new parameterizations of equilibrium neural networ...
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04/11/2020
Convex Sets of Robust Recurrent Neural Networks
Recurrent neural networks (RNNs) are a class of nonlinear dynamical syst...
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12/22/2019