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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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04/12/2023
Learning Over All Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems
This paper presents a policy parameterization for learning-based control...
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04/04/2023
Learning Stable and Robust Linear Parameter-Varying State-Space Models
This paper presents two direct parameterizations of stable and robust li...
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03/20/2023
Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the controllability Gramian
We establish a layer-wise parameterization for 1D convolutional neural n...
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01/27/2023
Direct Parameterization of Lipschitz-Bounded Deep Networks
This paper introduces a new parameterization of deep neural networks (bo...
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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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12/02/2021
Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees
This paper presents a parameterization of nonlinear controllers for unce...
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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