Artikler med mandater om offentlig tilgang - Lennart LjungLes mer
Ikke tilgjengelige noe sted: 21
Impulse response estimation with binary measurements: A regularized FIR model approach
T Chen, Y Zhao, L Ljung
IFAC Proceedings Volumes 45 (16), 113-118, 2012
Mandater: Swedish Research Council
Stochastic Embedding revisited: A modern interpretation
L Ljung, GC Goodwin, JC Agüero
53rd IEEE conference on decision and control, 3340-3345, 2014
Mandater: Swedish Research Council, European Commission
Model error modeling and stochastic embedding
L Ljung, GC Goodwin, JC Agüero, T Chen
IFAC-PapersOnLine 48 (28), 75-79, 2015
Mandater: Swedish Research Council, European Commission
Regularization strategies for nonparametric system identification
A Chiuso, T Chen, L Ljung, G Pillonetto
52nd IEEE conference on decision and control, 6013-6018, 2013
Mandater: European Commission, Government of Italy
Experiment design for improved frequency domain subspace system identification of continuous-time systems
MK Vakilzadeh, V Yaghoubi, T McKelvey, T Abrahamsson, L Ljung
IFAC-PapersOnLine 48 (28), 886-891, 2015
Mandater: European Commission
Identification of Wiener systems with process noise is a nonlinear errors-in-variables problem
B Wahlberg, J Welsh, L Ljung
53rd IEEE conference on decision and control, 3328-3333, 2014
Mandater: Swedish Research Council, European Commission
On kernel structures for regularized system identification (II): A system theory perspective
T Chen, L Ljung
IFAC-PapersOnLine 48 (28), 1041-1046, 2015
Mandater: Swedish Research Council, European Commission
On kernel structures for regularized system identification (i): a machine learning perspective
T Chen, L Ljung
IFAC-PapersOnLine 48 (28), 1035-1040, 2015
Mandater: Swedish Research Council, European Commission
Using horizon estimation and nonlinear optimization for grey-box identification
AJ Isaksson, J Sjöberg, D Törnqvist, L Ljung, M Kok
Journal of Process Control 30, 69-79, 2015
Mandater: Swedish Research Council, European Commission
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
Mandater: 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
Mandater: European Commission, Government of Italy
Kernel-based model order selection for identification and prediction of linear dynamic systems
G Pillonetto, T Chen, L Ljung
52nd IEEE Conference on Decision and Control, 5174-5179, 2013
Mandater: European Commission, Government of Italy
On the input design for kernel-based regularized LTI system identification: Power-constrained inputs
B Mu, T Chen, L Ljung
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5262-5267, 2017
Mandater: National Natural Science Foundation of China, Swedish Research Council
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
Mandater: Swedish Research Council, European Commission, Government of Italy
On the influence of ill-conditioned regression matrix on hyper-parameter estimators for kernel-based regularization methods
Y Ju, T Chen, B Mu, L Ljung
2020 59th IEEE Conference on Decision and Control (CDC), 300-305, 2020
Mandater: National Natural Science Foundation of China
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
Mandater: Swedish Research Council, European Commission, Government of Italy
On Asymptotic Distribution of Generalized Cross Validation Hyper-parameter Estimator for Regularized System Identification*
Y Ju, T Chen, B Mu, L Ljung
2021 60th IEEE Conference on Decision and Control (CDC), 1598-1602, 2021
Mandater: National Natural Science Foundation of China, Swedish Research Council
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
Mandater: Swedish Research Council, European Commission, Government of Italy
On Convergence in Distribution of Stein's Unbiased Risk Hyper-parameter Estimator for Regularized System Identification
Y Ju, T Chen, B Mu, L Ljung
2022 41st Chinese Control Conference (CCC), 1491-1496, 2022
Mandater: National Natural Science Foundation of China, Swedish Research Council …
Kernel-based regularized iterative learning control of repetitive linear time-varying systems
X Yu, T Chen, B Mu, L Ljung
IFAC-PapersOnLine 54 (7), 738-743, 2021
Mandater: Chinese Academy of Sciences, National Natural Science Foundation of China …
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