Giulio Bottegal

发表

Learning linear modules in a dynamic network using regularized kernel-based methods pdf

Giulio Bottegal, Paul M.J. Van den Hof, Karthik R. Ramaswamy, 2020, Autom..

Blind identification strategies for room occupancy estimation

Karl Henrik Johansson, Afrooz Ebadat, Giulio Bottegal, 2015, 2015 European Control Conference (ECC).

On the Effect of Noise Correlation in Parameter Identification of SIMO Systems

H. Hjalmarsson, C. Rojas, Giulio Bottegal, 2015 .

Probabilistic matrix factorization from quantized measurements

Johan A. K. Suykens, Giulio Bottegal, J. Suykens, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Outlier robust kernel-based system identification using ℓ1-Laplace techniques

Giulio Bottegal, Håkan Hjalmarsson, Aleksandr Y. Aravkin, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

On the variance of identified SIMO systems with spatially correlated output noise

Giulio Bottegal, Håkan Hjalmarsson, H. Hjalmarsson, 2014, 53rd IEEE Conference on Decision and Control.

Variance analysis of linear SIMO models with spatially correlated noise

Giulio Bottegal, Håkan Hjalmarsson, Cristian R. Rojas, 2015, Autom..

Analysis and identification of complex stochastic systems admitting a flocking structure

Giulio Bottegal, G. Picci, 2014 .

Real-time determination of optimal switching times for a H2 production process with CO2 capture using Gaussian Process Regression models

Giulio Bottegal, Leyla Özkan, Marcella Porru, 2019, Computer Aided Chemical Engineering.

Flocking and Generalized Factor Analysis

Giulio Bottegal, G. Picci, 2013, ArXiv.

J un 2 01 7 Preserving Privacy of Finite Impulse Response Systems

Giulio Bottegal, I. Shames, F. Farokhi, 2017 .

Learning linear modules in a dynamic network with missing node observations

K. R. Ramaswamy, P. V. D. Hof, Giulio Bottegal, 2022, ArXiv.

Approximate Maximum-likelihood Identification of Linear Systems from Quantized Measurements

Riccardo Sven Risuleo, H. Hjalmarsson, Giulio Bottegal, 2018 .

Robust EM kernel-based methods for linear system identification pdf

Giulio Bottegal, Håkan Hjalmarsson, Aleksandr Y. Aravkin, 2014, Autom..

On the estimation of initial conditions in kernel-based system identification

Giulio Bottegal, Riccardo Sven Risuleo, Håkan Hjalmarsson, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Regularized spectrum estimation using stable spline kernels

Giulio Bottegal, Gianluigi Pillonetto, G. Pillonetto, 2013, Autom..

Modeling, estimation and identification of stochastic systems with latent variables

Giulio Bottegal, 2013 .

On the properties of linear multirate systems with coprime output rates

Giulio Bottegal, Brian D. O. Anderson, Mohsen Zamani, 2013, 52nd IEEE Conference on Decision and Control.

On the Zero-Freeness of Tall Multirate Linear Systems

Giulio Bottegal, Brian D. O. Anderson, Mohsen Zamani, 2013, IEEE Transactions on Automatic Control.

A new kernel-based approach to system identification with quantized output data pdf

Giulio Bottegal, Håkan Hjalmarsson, Gianluigi Pillonetto, 2016, Autom..

Estimation of building occupancy levels through environmental signals deconvolution

Karl Henrik Johansson, Afrooz Ebadat, Giulio Bottegal, 2013, BuildSys@SenSys.

Modeling and identification of uncertain-input systems pdf

Giulio Bottegal, Riccardo Sven Risuleo, Håkan Hjalmarsson, 2017, Autom..

A nonparametric kernel-based approach to Hammerstein system identification

Giulio Bottegal, Riccardo Sven Risuleo, Håkan Hjalmarsson, 2017, Autom..

Approximate inference of nonparametric Hammerstein models

Giulio Bottegal, Riccardo Sven Risuleo, Håkan Hjalmarsson, 2017 .

A two-experiment approach to Wiener system identification

Johan A. K. Suykens, Giulio Bottegal, Ricardo Castro-Garcia, 2018, Autom..

On the identification of Wiener systems with polynomial nonlinearity

Johan A. K. Suykens, Giulio Bottegal, Ricardo Castro-Garcia, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Bayesian kernel-based system identification with quantized output data pdf

Giulio Bottegal, Håkan Hjalmarsson, Gianluigi Pillonetto, 2015, ArXiv.

On maximum likelihood identification of errors-in-variables models

Riccardo Sven Risuleo, H. Hjalmarsson, B. Ninness, 2017 .

On the identifiability of errors-in-variables models with white measurement errors

Giulio Bottegal, Giorgio Picci, Stefano Pinzoni, 2011, Autom..

Modeling Complex Systems by Generalized Factor Analysis

Giulio Bottegal, Giorgio Picci, Giulio Bottegal, 2013, IEEE Transactions on Automatic Control.

Outlier robust system identification: a Bayesian kernel-based approach

Giulio Bottegal, Aleksandr Y. Aravkin, Gianluigi Pillonetto, 2013, 1312.6317.

Preserving Privacy of Finite Impulse Response Systems

Giulio Bottegal, Farhad Farokhi, Iman Shames, 2017, IEEE Control Systems Letters.

Identification of modules in dynamic networks: An empirical Bayes approach

Giulio Bottegal, Håkan Hjalmarsson, Cristian R. Rojas, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

A new kernel-based approach to overparameterized Hammerstein system identification

Giulio Bottegal, Riccardo Sven Risuleo, Håkan Hjalmarsson, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

On the Zero Properties of Tall Linear Systems with Single-rate and Multirate Outputs

Giulio Bottegal, Brian D. O. Anderson, Mohsen Zamani, 2013 .

Modeling random flocks through Generalized Factor Analysis

Giulio Bottegal, Giorgio Picci, Giulio Bottegal, 2013, 2013 European Control Conference (ECC).

A note on generalized factor analysis models

Giulio Bottegal, Giorgio Picci, Giulio Bottegal, 2011, IEEE Conference on Decision and Control and European Control Conference.

Identification of Linear Models From Quantized Data: A Midpoint-Projection Approach

Giulio Bottegal, Riccardo Sven Risuleo, Håkan Hjalmarsson, 2020, IEEE Transactions on Automatic Control.

Multi-room occupancy estimation through adaptive gray-box models

Karl Henrik Johansson, Afrooz Ebadat, Giulio Bottegal, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Regularized Deconvolution-Based Approaches for Estimating Room Occupancies

Afrooz Ebadat, Giulio Bottegal, Damiano Varagnolo, 2015, IEEE Transactions on Automation Science and Engineering.

An empirical Bayes approach to identification of modules in dynamic networks pdf

Giulio Bottegal, Håkan Hjalmarsson, Niklas Everitt, 2017, Autom..

Boosting as a kernel-based method

G. Pillonetto, A. Aravkin, Giulio Bottegal, 2016, Machine Learning.

Blind system identification using kernel-based methods pdf

Giulio Bottegal, Riccardo Sven Risuleo, Håkan Hjalmarsson, 2014, ArXiv.

A kernel-based approach to Hammerstein system identification pdf

Giulio Bottegal, Riccardo Sven Risuleo, Håkan Hjalmarsson, 2014, ArXiv.

Bayesian topology identification of linear dynamic networks

Giulio Bottegal, Paul M. J. Van den Hof, Shengling Shi, 2019, 2019 18th European Control Conference (ECC).

Local Module Identification in Dynamic Networks Using Regularized Kernel-Based Methods

Giulio Bottegal, Paul M. J. Van den Hof, Karthik R. Ramaswamy, 2018, 2018 IEEE Conference on Decision and Control (CDC).

Local module identification in dynamic networks with correlated noise: the full input case

Giulio Bottegal, Arne G. Dankers, Paul M. J. Van den Hof, 2018, 2019 IEEE 58th Conference on Decision and Control (CDC).

Application-oriented input design for room occupancy estimation algorithms

Karl Henrik Johansson, Afrooz Ebadat, Giulio Bottegal, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Kernel-based system identification from noisy and incomplete input-output data

Giulio Bottegal, Riccardo Sven Risuleo, Håkan Hjalmarsson, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

On the variance analysis of identified linear MIMO models

Giulio Bottegal, Håkan Hjalmarsson, Cristian R. Rojas, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Regularized spectrum estimation in spaces induced by stable spline kernels

Giulio Bottegal, Gianluigi Pillonetto, G. Pillonetto, 2012, 2012 American Control Conference (ACC).

The generalized cross validation filter pdf

Giulio Bottegal, Gianluigi Pillonetto, G. Pillonetto, 2017, Autom..