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 | 877 | 2014 |
On the estimation of transfer functions, regularizations and Gaussian processes—Revisited T Chen, H Ohlsson, L Ljung Automatica 48 (8), 1525-1535, 2012 | 482 | 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 | 186 | 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 | 145 | 2013 |
A shift in paradigm for system identification L Ljung, T Chen, B Mu International Journal of Control 93 (2), 173-180, 2020 | 130 | 2020 |
On kernel design for regularized LTI system identification T Chen Automatica 90, 109-122, 2018 | 115 | 2018 |
Regularized System Identification - Learning Dynamic Models from Data G Pillonetto, T Chen, A Chiuso, G De Nicolao, L Ljung Springer, 2022 | 97 | 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 | 78 | 2016 |
On asymptotic properties of hyperparameter estimators for kernel-based regularization methods B Mu, T Chen, L Ljung Automatica 94, 381-395, 2018 | 75 | 2018 |
Transfer function and transient estimation by Gaussian process regression in the frequency domain J Lataire, T Chen Automatica 72, 217-229, 2016 | 64 | 2016 |
Maximum entropy kernels for system identification FP Carli, T Chen, L Ljung IEEE Transactions on Automatic Control 62 (3), 1471-1477, 2016 | 62 | 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 | 55 | 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 | 46 | 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 |
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 |
Regularized system identification using orthonormal basis functions T Chen, L Ljung 2015 European Control Conference (ECC), 1291-1296, 2015 | 37 | 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 | 36 | 2009 |
Comments on “State estimation for linear systems with state equality constraints”[Automatica 43 (2007) 1363–1368] T Chen Automatica 46 (11), 1929-1932, 2010 | 35 | 2010 |