| 1 |
KERNEL ABSOLUTE SUMMABILITY IS SUFFICIENT BUT NOT NECESSARY FOR RKHS STABILITY
Bisiacco M, Pillonetto G
SIAM Journal on Control and Optimization, 58(4), 2006, 2020 |
| 2 |
Fast robust methods for singular state-space models
Jonker J, Aravkin A, Burke JV, Pillonetto G, Webster S
Automatica, 105, 399, 2019 |
| 3 |
The quest for the right kernel in Bayesian impulse response identification: The use of OBFs
Darwish MAH, Pillonetto G, Toth R
Automatica, 87, 318, 2018 |
| 4 |
The generalized cross validation filter
Bottegal G, Pillonetto G
Automatica, 90, 130, 2018 |
| 5 |
System identification using kernel-based regularization: New insights on stability and consistency issues
Pillonetto G
Automatica, 93, 321, 2018 |
| 6 |
Prediction-error identification of LPV systems: A nonparametric Gaussian regression approach
Darwish MAH, Cox PB, Proimadis I, Pillonetto G, Toth R
Automatica, 97, 92, 2018 |
| 7 |
On the stability of reproducing kernel Hilbert spaces of discrete-time impulse responses
Chen TS, Pillonetto G
Automatica, 95, 529, 2018 |
| 8 |
Maximum Entropy vector kernels for MIMO system identification
Prando G, Chiuso A, Pillonetto G
Automatica, 79, 326, 2017 |
| 9 |
Multi-robots Gaussian estimation and coverage control: From client-server to peer-to-peer architectures
Todescato M, Carron A, Carli R, Pillonetto G, Schenato L
Automatica, 80, 284, 2017 |
| 10 |
Generalized Kalman smoothing: Modeling and algorithms
Aravkin A, Burke JV, Ljung L, Lozano A, Pillonetto G
Automatica, 86, 63, 2017 |
