Chen Tianshi
Chen Tianshi
The Chinese University of Hong Kong, Shenzhen
E-mailová adresa ověřena na: - Domovská stránka
Kernel methods in system identification, machine learning and function estimation: A survey
G Pillonetto, F Dinuzzo, T Chen, G De Nicolao, L Ljung
Automatica 50 (3), 657-682, 2014
On the estimation of transfer functions, regularizations and Gaussian processes—Revisited
T Chen, H Ohlsson, L Ljung
Automatica 48 (8), 1525-1535, 2012
System identification via sparse multiple kernel-based regularization using sequential convex optimization techniques
T Chen, MS Andersen, L Ljung, A Chiuso, G Pillonetto
IEEE Transactions on Automatic Control 59 (11), 2933-2945, 2014
Implementation of algorithms for tuning parameters in regularized least squares problems in system identification
T Chen, L Ljung
Automatica 49 (7), 2213-2220, 2013
Decentralized particle filter with arbitrary state decomposition
T Chen, TB Schon, H Ohlsson, L Ljung
IEEE Transactions on Signal Processing 59 (2), 465-478, 2010
On kernel design for regularized LTI system identification
T Chen
Automatica 90, 109-122, 2018
Regularized linear system identification using atomic, nuclear and kernel-based norms: The role of the stability constraint
G Pillonetto, T Chen, A Chiuso, G De Nicolao, L Ljung
Automatica 69, 137-149, 2016
Transfer function and transient estimation by Gaussian process regression in the frequency domain
J Lataire, T Chen
Automatica 72, 217-229, 2016
Maximum entropy kernels for system identification
FP Carli, T Chen, L Ljung
IEEE Transactions on Automatic Control 62 (3), 1471-1477, 2016
Kernel selection in linear system identification part II: A classical perspective
T Chen, H Ohlsson, GC Goodwin, L Ljung
2011 50th IEEE Conference on Decision and Control and European Control …, 2011
Maximum entropy properties of discrete-time first-order stable spline kernel
T Chen, T Ardeshiri, FP Carli, A Chiuso, L Ljung, G Pillonetto
Automatica 66, 34-38, 2016
A small gain approach to global stabilization of nonlinear feedforward systems with input unmodeled dynamics
T Chen, J Huang
Automatica 46 (6), 1028-1034, 2010
On asymptotic properties of hyperparameter estimators for kernel-based regularization methods
B Mu, T Chen, L Ljung
Automatica 94, 381-395, 2018
Global robust output regulation by state feedback for strict feedforward systems
T Chen, J Huang
IEEE Transactions on Automatic Control 54 (9), 2157-2163, 2009
Regularized system identification using orthonormal basis functions
T Chen, L Ljung
2015 European Control Conference (ECC), 1291-1296, 2015
Comments on “State estimation for linear systems with state equality constraints”[Automatica 43 (2007) 1363–1368]
T Chen
Automatica 46 (11), 1929-1932, 2010
What can regularization offer for estimation of dynamical systems?
LLT Chen
IFAC Proceedings Volumes 46 (11), 1-8, 2013
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
Disturbance attenuation of feedforward systems with dynamic uncertainty
T Chen, J Huang
IEEE Transactions on Automatic Control 53 (7), 1711-1717, 2008
Constructive state space model induced kernels for regularized system identification
T Chen, L Ljung
IFAC Proceedings Volumes 47 (3), 1047-1052, 2014
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Články 1–20