3 papers
cs.LG2020
Stable Neural Flows
Stefano Massaroli, Michael Poli, Michelangelo Bin +3
We introduce a provably stable variant of neural ordinary differential equations (neural ODEs) whose trajectories evolve on an energy functional parametrised by a neural network. S…
eess.SY2019
A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization
Michelangelo Bin, Ivano Notarnicola, Lorenzo Marconi +1
In this paper we consider a recently developed distributed optimization algorithm based on gradient tracking. We propose a system theory framework to analyze its structural propert…
eess.SY2019
Approximate Nonlinear Regulation via Identification-Based Adaptive Internal Models
Michelangelo Bin, Pauline Bernard, Lorenzo Marconi
This paper concerns the problem of adaptive output regulation for multivariable nonlinear systems in normal form. We present a regulator employing an adaptive internal model of the…