5 citations · 6 across the 7 of their papers we have counts for
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cs.LG2021
A novel Deep Neural Network architecture for non-linear system identification
Luca Zancato, Alessandro Chiuso
We present a novel Deep Neural Network (DNN) architecture for non-linear system identification. We foster generalization by constraining DNN representational power. To do so, inspi…
cs.LG2021
Estimating Koopman operators for nonlinear dynamical systems: a nonparametric approach
Francesco Zanini, Alessandro Chiuso
The Koopman operator is a mathematical tool that allows for a linear description of non-linear systems, but working in infinite dimensional spaces. Dynamic Mode Decomposition and E…
cs.LG2018
Derivative-free online learning of inverse dynamics models
Diego Romeres, Mattia Zorzi, Raffaello Camoriano +2
This paper discusses online algorithms for inverse dynamics modelling in robotics. Several model classes including rigid body dynamics (RBD) models, data-driven models and semipara…