| 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 | 1015 | 2014 |
| On the estimation of transfer functions, regularizations and Gaussian processes—Revisited T Chen, H Ohlsson, L Ljung Automatica 48 (8), 1525-1535, 2012 | 532 | 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 | 212 | 2014 |
| 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 | 182* | 2022 |
| A shift in paradigm for system identification L Ljung, T Chen, B Mu International Journal of Control 93 (2), 173-180, 2020 | 163 | 2020 |
| Implementation of algorithms for tuning parameters in regularized least squares problems in system identification T Chen, L Ljung Automatica 49 (7), 2213-2220, 2013 | 161 | 2013 |
| On kernel design for regularized LTI system identification T Chen Automatica 90, 109-122, 2018 | 150 | 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 | 93 | 2016 |
| On asymptotic properties of hyperparameter estimators for kernel-based regularization methods B Mu, T Chen, L Ljung Automatica 94, 381-395, 2018 | 88 | 2018 |
| Transfer function and transient estimation by Gaussian process regression in the frequency domain J Lataire, T Chen Automatica 72, 217-229, 2016 | 80 | 2016 |
| Maximum entropy kernels for system identification FP Carli, T Chen, L Ljung IEEE Transactions on Automatic Control 62 (3), 1471-1477, 2016 | 70 | 2016 |
| What can regularization offer for estimation of dynamical systems? LLT Chen IFAC Proceedings Volumes 46 (11), 1-8, 2013 | 60 | 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 | 60 | 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 | 59 | 2016 |
| 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 | 56 | 2020 |
| Bus arrival time prediction and reliability analysis: An experimental comparison of functional data analysis and Bayesian support vector regression YP Huang, C Chen, ZC Su, TS Chen, A Sumalee, TL Pan, RX Zhong Applied Soft Computing 111, 107663, 2021 | 49 | 2021 |
| Regularized system identification using orthonormal basis functions T Chen, L Ljung 2015 European Control Conference (ECC), 1291-1296, 2015 | 47 | 2015 |
| 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 | 47 | 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 |
| Asymptotic properties of generalized cross validation estimators for regularized system identification B Mu, T Chen, L Ljung IFAC-PapersOnLine 51 (15), 203-208, 2018 | 39 | 2018 |
Lennart LjungProfessor of Automatic Control, Linköping University, SwedenVerified email at isy.liu.se
