Tianshi CHEN
Tianshi CHEN
Professor, The Chinese University of Hong Kong, Shenzhen, China
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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
A shift in paradigm for system identification
L Ljung, T Chen, B Mu
International Journal of Control 93 (2), 173-180, 2020
On kernel design for regularized LTI system identification
T Chen
Automatica 90, 109-122, 2018
Regularized System Identification - Learning Dynamic Models from Data
G Pillonetto, T Chen, A Chiuso, G De Nicolao, L Ljung
Springer, 2022
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
On asymptotic properties of hyperparameter estimators for kernel-based regularization methods
B Mu, T Chen, L Ljung
Automatica 94, 381-395, 2018
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
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
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
What can regularization offer for estimation of dynamical systems?
LLT Chen
IFAC Proceedings Volumes 46 (11), 1-8, 2013
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
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
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
Regularized system identification using orthonormal basis functions
T Chen, L Ljung
2015 European Control Conference (ECC), 1291-1296, 2015
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
On input design for regularized LTI system identification: Power-constrained input
B Mu, T Chen
Automatica 97, 327-338, 2018
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
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