Tianshi CHEN

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Lennart LjungProfessor of Automatic Control, Linköping University, SwedenVerified email at isy.liu.se
Gianluigi PillonettoProfessor of Automatic Control, University of PadovaVerified email at dei.unipd.it
Biqiang MuAssociate ProfessorVerified email at amss.ac.cn
Alessandro ChiusoProfessor of Automatic Control, University of PadovaVerified email at dei.unipd.it
De Nicolao GiuseppeProfessore di Automatica, Università di PaviaVerified email at unipv.it
Martin S. AndersenTechnical University of DenmarkVerified email at dtu.dk
Renxin ZHONGProfessor, School of Intelligent Systems Engineering, Sun Yat-Sen UniversityVerified email at mail.sysu.edu.cn
Wei Xing ZhengDistinguished Professor, Western Sydney University, AustraliaVerified email at westernsydney.edu.au
Graham clifford goodwinProfessor university of newcastle AustraliaVerified email at newcastle.edu.au
Thomas SchönProfessor, Uppsala UniversityVerified email at it.uu.se
Zhi-Quan LuoProfessor, The Chinese University of Hong Kong, Shenzhen, ChinaVerified email at cuhk.edu.cn
Sergios TheodoridisNational and Kapodistrian University of Athens, Greece and Aalborg University DenmarkVerified email at di.uoa.gr
John LataireVrije Universiteit BrusselVerified email at vub.ac.be
Zhao YanlongAcademy of Mathematics and Systems Science, CASVerified email at amss.ac.cn
Shankar SastryUniversity of CaliforniaVerified email at berkeley.edu
Shuguang CuiDistinguished Presidential Chair Professor, School of Science and Engineering, CUHKSZVerified email at cuhk.edu.cn
Juan C. AgüeroUniversidad Tecnica Federico Santa Maria (Chile)Verified email at usm.cl
erwei baiVerified email at engineering.uiowa.edu

Tianshi CHEN

Professor, The Chinese University of Hong Kong, Shenzhen, China

Verified email at cuhk.edu.cn - Homepage

System Identification Automatic Control


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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	897	2014
On the estimation of transfer functions, regularizations and Gaussian processes—Revisited T Chen, H Ohlsson, L Ljung Automatica 48 (8), 1525-1535, 2012	489	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	188	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	150	2013
A shift in paradigm for system identification L Ljung, T Chen, B Mu International Journal of Control 93 (2), 173-180, 2020	138	2020
On kernel design for regularized LTI system identification T Chen Automatica 90, 109-122, 2018	120	2018
Regularized System Identification - Learning Dynamic Models from Data G Pillonetto, T Chen, A Chiuso, G De Nicolao, L Ljung https://link.springer.com/book/10.1007/978-3-030-95860-2, Springer, 2022	107	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	81	2016
On asymptotic properties of hyperparameter estimators for kernel-based regularization methods B Mu, T Chen, L Ljung Automatica 94, 381-395, 2018	76	2018
Transfer function and transient estimation by Gaussian process regression in the frequency domain J Lataire, T Chen Automatica 72, 217-229, 2016	67	2016
Maximum entropy kernels for system identification FP Carli, T Chen, L Ljung IEEE Transactions on Automatic Control 62 (3), 1471-1477, 2016	64	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	57	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	56	2016
What can regularization offer for estimation of dynamical systems? LLT Chen IFAC Proceedings Volumes 46 (11), 1-8, 2013	54	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	48	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	40	2010
Linear multiple low-rank kernel based stationary Gaussian processes regression for time series F Yin, L Pan, T Chen, S Theodoridis, ZQT Luo, AM Zoubir IEEE Transactions on Signal Processing 68, 5260-5275, 2020	39	2020
Regularized system identification using orthonormal basis functions T Chen, L Ljung 2015 European Control Conference (ECC), 1291-1296, 2015	39	2015
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	38	2012
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	36	2009

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