受强制性开放获取政策约束的文章 - Alessandro Chiuso了解详情
无法在其他位置公开访问的文章：21 篇
System identification: A machine learning perspective
A Chiuso, G Pillonetto
Annual Review of Control, Robotics, and Autonomous Systems 2 (1), 281-304, 2019
强制性开放获取政策： Government of Italy
Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator
G Pillonetto, A Chiuso
Automatica 58, 106-117, 2015
强制性开放获取政策： Government of Italy
Tuning complexity in kernel-based linear system identification: The robustness of the marginal likelihood estimator
G Pillonetto, A Chiuso
2014 European Control Conference (ECC), 2386-2391, 2014
强制性开放获取政策： Government of Italy
Control-oriented regularization for linear system identification
S Formentin, A Chiuso
Automatica 127, 109539, 2021
强制性开放获取政策： Fondazione Cariplo
Regularization strategies for nonparametric system identification
A Chiuso, T Chen, L Ljung, G Pillonetto
52nd IEEE conference on decision and control, 6013-6018, 2013
强制性开放获取政策： European Commission, Government of Italy
PI-shaped LQG control design for adaptive optics systems
J Mocci, M Quintavalla, A Chiuso, S Bonora, R Muradore
Control Engineering Practice 102, 104528, 2020
强制性开放获取政策： Government of Italy
CoRe: Control-oriented regularization for system identification
S Formentin, A Chiuso
2018 IEEE Conference on Decision and Control (CDC), 2253-2258, 2018
强制性开放获取政策： Fondazione Cariplo
Model reduction for linear bayesian system identification
G Prando, A Chiuso
2015 54th IEEE Conference on Decision and Control (CDC), 2121-2126, 2015
强制性开放获取政策： Government of Italy
Sparse multiple kernels for impulse response estimation with majorization minimization algorithms
T Chen, L Ljung, M Andersen, A Chiuso, F Carli, G Pillonetto
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 1500-1505, 2012
强制性开放获取政策： Swedish Research Council
On the design of multiple kernels for nonparametric linear system identification
A Chiuso, T Chen, L Ljung, G Pillonetto
53rd IEEE Conference on Decision and Control, 3346-3351, 2014
强制性开放获取政策： European Commission, Government of Italy
The role of rank penalties in linear system identification
G Prando, G Pillonetto, A Chiuso
IFAC-PapersOnLine 48 (28), 1293-1300, 2015
强制性开放获取政策： Government of Italy
Rank-1 kernels for regularized system identification
T Chen, A Chiuso, G Pillonetto, L Ljung
52nd IEEE Conference on Decision and Control, 5162-5167, 2013
强制性开放获取政策： Swedish Research Council, European Commission, Government of Italy
Spectral analysis of the DC kernel for regularized system identification
T Chen, G Pillonetto, A Chiuso, L Ljung
2015 54th IEEE Conference on Decision and Control (CDC), 4017-4022, 2015
强制性开放获取政策： Swedish Research Council, European Commission, Government of Italy
Phase retrieval receiver based on deep learning for minimum-phase signal recovery
D Orsuti, C Antonelli, A Chiuso, M Santagiustina, A Mecozzi, A Galtarossa, ...
European Conference and Exhibition on Optical Communication, We2C. 4, 2022
强制性开放获取政策： Government of Italy
Linear system identification using the sequential stabilizing spline algorithm
G Pillonetto, A Chiuso
Automatica 138, 110169, 2022
强制性开放获取政策： European Commission, Government of Italy
Data-driven control of nonlinear systems: Learning koopman operators for policy gradient
F Zanini, A Chiuso
2021 60th IEEE Conference on Decision and Control (CDC), 6491-6496, 2021
强制性开放获取政策： Government of Italy
Anomaly detection in homogenous populations: a sparse multiple kernel-based regularization method
T Chen, MS Andersen, A Chiuso, G Pillonetto, L Ljung
53rd IEEE conference on decision and control, 265-270, 2014
强制性开放获取政策： Swedish Research Council, European Commission, Government of Italy
Identification of stable linear systems via the sequential stabilizing spline algorithm
G Pillonetto, A Chiuso
IFAC-PapersOnLine 51 (15), 19-24, 2018
强制性开放获取政策： Government of Italy
Non-iterative control-oriented regularization for linear system identification
A Chiuso, S Formentin, F Zanini
2020 59th IEEE Conference on Decision and Control (CDC), 2252-2257, 2020
强制性开放获取政策： Government of Italy
Value-function estimation and uncertainty propagation in Reinforcement Learning: a Koopman operator approach
F Zanini, A Chiuso
2022 IEEE 61st Conference on Decision and Control (CDC), 777-782, 2022
强制性开放获取政策： Government of Italy
出版信息和资助信息由计算机程序自动确定