16 citations · 71 across the 18 of their papers we have counts for
5 papers · 1 filter
Bayesian kernel-based system identification with quantized output data
Giulio Bottegal, Gianluigi Pillonetto, Håkan Hjalmarsson
In this paper we introduce a novel method for linear system identification with quantized output data. We model the impulse response as a zero-mean Gaussian process whose covarianc…
On the estimation of initial conditions in kernel-based system identification
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
Recent developments in system identification have brought attention to regularized kernel-based methods, where, adopting the recently introduced stable spline kernel, prior informa…
A new kernel-based approach for overparameterized Hammerstein system identification
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
In this paper we propose a new identification scheme for Hammerstein systems, which are dynamic systems consisting of a static nonlinearity and a linear time-invariant dynamic syst…
A benchmark for data-based office modeling: challenges related to CO dynamics
Riccardo Sven Risuleo, Marco Molinari, Giulio Bottegal +2
This paper describes a benchmark consisting of a set of synthetic measurements relative to an office environment simulated with the software IDA-ICE. The simulated environment repr…
Variance Analysis of Linear SIMO Models with Spatially Correlated Noise
Niklas Everitt, Giulio Bottegal, Cristian R. Rojas +1
Substantial improvement in accuracy of identified linear time-invariant single-input multi-output (SIMO) dynamical models is possible when the disturbances affecting the output mea…