research
∙
04/06/2023
Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations
In this work, we introduce and study a class of Deep Neural Networks (DN...
share
research
∙
11/14/2022
Follow the Clairvoyant: an Imitation Learning Approach to Optimal Control
We consider control of dynamical systems through the lens of competitive...
research
∙
03/22/2022
Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems
We address the problem of designing stabilizing control policies for non...
research
∙
12/16/2021
Distributed neural network control with dependability guarantees: a compositional port-Hamiltonian approach
Large-scale cyber-physical systems require that control policies are dis...
research
∙
05/27/2021