Tianshi Chen

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 66

Top Topics

Regularization Methods

Multiple Kernel

Orthonormal Basis

Top Venues

IEEE Trans. Autom. Control.

Publications

Biqiang Mu, Lennart Ljung, Tianshi Chen
When cannot regularization improve the least squares estimate in the kernel-based regularized system identification. Autom. 160 (2024)
Xiaozhu Fang, Tianshi Chen
On kernel design for regularized non-causal system identification. Autom. 159 (2024)
Biqiang Mu, Tianshi Chen
On Asymptotic Optimality of Cross-Validation Estimators for Kernel-Based Regularized System Identification. IEEE Trans. Autom. Control. 69 (7) (2024)
Xiaozhu Fang, Yu Xu, Tianshi Chen
A Local Gaussian Process Regression Approach to Frequency Response Function Estimation. CoRR (2024)
Xian Yu, Tianshi Chen
Distributed Iterative Learning Control of Nonlinear Multiagent Systems Using Controller-Based Dynamic Linearization Method. IEEE Trans. Cybern. 54 (8) (2024)
Mingxia Ding, Wenxiao Zhao, Tianshi Chen
A Class of Convex Optimization-Based Recursive Algorithms for Identification of Stochastic Systems. CoRR (2024)
Junpeng Zhang, Yue Ju, Bo Wahlberg, Biqiang Mu, Tianshi Chen
An Efficient Implementation for Bayesian Manifold Regularization Method. CDC (2023)
Zhuohua Shen, Yu Xu, Martin S. Andersen, Tianshi Chen
An Efficient Implementation for Kernel-Based Regularized System Identification with Periodic Input Signals. CDC (2023)
Xian Yu, Zhongsheng Hou, Tianshi Chen
Data-Driven Distributed Adaptive Consensus Tracking of Nonlinear Multiagent Systems: A Controller-Based Dynamic Linearization Method. IEEE Trans. Syst. Man Cybern. Syst. 53 (11) (2023)
He Kong, Salah Sukkarieh, Travis J. Arnold, Tianshi Chen, Biqiang Mu, Wei Xing Zheng
Identifiability Analysis of Noise Covariances for LTI Stochastic Systems With Unknown Inputs. IEEE Trans. Autom. Control. 68 (7) (2023)
Lujing Chen, Tianshi Chen, Utkarsh Detha, Martin S. Andersen
Towards Scalable Kernel-Based Regularized System Identification. CDC (2023)
Xiaozhu Fang, Tianshi Chen
On Kernel Design for Regularized Non-Causal System Identification. CoRR (2023)
Xian Yu, Xiaozhu Fang, Biqiang Mu, Tianshi Chen
Kernel-based Regularized Iterative Learning Control of Repetitive Linear Time-varying Systems. CoRR (2023)
Yue Ju, Biqiang Mu, Lennart Ljung, Tianshi Chen
Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyperparameter Estimator. IEEE Trans. Autom. Control. 68 (12) (2023)
Xian Yu, Xiaozhu Fang, Biqiang Mu, Tianshi Chen
Kernel-based regularized iterative learning control of repetitive linear time-varying systems. Autom. 154 (2023)
Junpeng Zhang, Yue Ju, Biqiang Mu, Renxin Zhong, Tianshi Chen
An efficient implementation for spatial-temporal Gaussian process regression and its applications. Autom. 147 (2023)
Biqiang Mu, He Kong, Tianshi Chen, Bo Jiang, Lei Wang, Junfeng Wu
Input Design for Regularized System Identification: Stationary Conditions and Sphere Preserving Algorithm. IEEE Trans. Autom. Control. 68 (9) (2023)
Biqiang Mu, Tianshi Chen, He Kong, Bo Jiang, Lei Wang, Junfeng Wu
On embeddings and inverse embeddings of input design for regularized system identification. Autom. 147 (2023)
Meng Zhang, Tianshi Chen, Biqiang Mu
A Family of Hyper-parameter Estimators for Regularized Linear System Identification. CDC (2023)
Bi-Qiang Mu, Tianshi Chen, Changming Cheng, Er-Wei Bai
Persistence of excitation for identifying switched linear systems. Autom. 137 (2022)
Yue Ju, Bi-Qiang Mu, Lennart Ljung, Tianshi Chen
Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyper-parameter Estimator. CoRR (2022)
Biqiang Mu, Tianshi Chen, He Kong, Bo Jiang, Lei Wang, Junfeng Wu
On Embeddings and Inverse Embeddings of Input Design for Regularized System Identification. CoRR (2022)
Junpeng Zhang, Yue Ju, Bi-Qiang Mu, Renxin Zhong, Tianshi Chen
An Efficient Implementation for Spatial-Temporal Gaussian Process Regression and Its Applications. CoRR (2022)
He Kong, Salah Sukkarieh, Travis J. Arnold, Tianshi Chen, Wei Xing Zheng
The noise covariances of linear Gaussian systems with unknown inputs are not uniquely identifiable using autocovariance least-squares. Syst. Control. Lett. 162 (2022)
Bi-Qiang Mu, Tianshi Chen, Changming Cheng, Er-Wei Bai
Identification of Switched Linear Systems: Persistence of Excitation and Numerical Algorithms. CoRR (2021)
He Kong, Mao Shan, Salah Sukkarieh, Tianshi Chen, Wei Xing Zheng
Kalman filtering under unknown inputs and norm constraints. Autom. 133 (2021)
Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung
. CDC (2021)
Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung
Tutorial on Asymptotic Properties of Regularized Least Squares Estimator for Finite Impulse Response Model. CoRR (2021)
Tianshi Chen, Martin S. Andersen
On semiseparable kernels and efficient implementation for regularized system identification and function estimation. Autom. 132 (2021)
Y. P. Huang, C. Chen, Z. C. Su, Tianshi Chen, A. Sumalee, T. L. Pan, R. X. Zhong
Bus arrival time prediction and reliability analysis: An experimental comparison of functional data analysis and Bayesian support vector regression. Appl. Soft Comput. 111 (2021)
Martin S. Andersen, Tianshi Chen
Smoothing Splines and Rank Structured Matrices: Revisiting the Spline Kernel. SIAM J. Matrix Anal. Appl. 41 (2) (2020)
Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung
On the Influence of Ill-conditioned Regression Matrix on Hyper-parameter Estimators for Kernel-based Regularization Methods. CDC (2020)
Yiping Jiang, Tianshi Chen
Accelerated Sparse Bayesian Learning via Screening Test and Its Applications. CoRR (2020)
Martin Lindfors, Tianshi Chen
Regularized LTI system identification in the presence of outliers: A variational EM approach. Autom. 121 (2020)
Feng Yin, Lishuo Pan, Tianshi Chen, Sergios Theodoridis, Zhi-Quan Tom Luo, Abdelhak M. Zoubir
Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series. IEEE Trans. Signal Process. 68 (2020)
Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung
On Effects of Condition Number of Regression Matrix upon Hyper-parameter Estimators for Kernel-based Regularization Methods. CoRR (2020)
Lennart Ljung, Tianshi Chen, Bi-Qiang Mu
A shift in paradigm for system identification. Int. J. Control 93 (2) (2020)
Yuxin Zhao, Carsten Fritsche, Gustaf Hendeby, Feng Yin, Tianshi Chen, Fredrik Gunnarsson
Cramér-Rao Bounds for Filtering Based on Gaussian Process State-Space Models. IEEE Trans. Signal Process. 67 (23) (2019)
Ang Xie, Feng Yin, Yue Xu, Bo Ai, Tianshi Chen, Shuguang Cui
Distributed Gaussian Processes Hyperparameter Optimization for Big Data Using Proximal ADMM. IEEE Signal Process. Lett. 26 (8) (2019)
Ye Kuang, Tianshi Chen, Feng Yin, Renxin Zhong
Recursive Implementation of Gaussian Process Regression for Spatial-Temporal Data Modeling. WCSP (2019)
Teng Jiang, Dabo Xu, Tianshi Chen, Andong Sheng
Parameter estimation of discrete-time sinusoidal signals: A nonlinear control approach. Autom. 109 (2019)
Feng Yin, Lishuo Pan, Xinwei He, Tianshi Chen, Sergios Theodoridis, Zhi-Quan Tom Luo
Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series. CoRR (2019)
Bi-Qiang Mu, Tianshi Chen, Lennart Ljung
On asymptotic properties of hyperparameter estimators for kernel-based regularization methods. Autom. 94 (2018)
Tianshi Chen
Continuous-Time DC Kernel - A Stable Generalized First-Order Spline Kernel. IEEE Trans. Autom. Control. 63 (12) (2018)
Bi-Qiang Mu, Tianshi Chen
On input design for regularized LTI system identification: Power-constrained input. Autom. 97 (2018)
Bi-Qiang Mu, Tianshi Chen, Lennart Ljung
Asymptotic Properties of Hyperparameter Estimators by Using Cross-Validations for Regularized System Identification. CDC (2018)
Tianshi Chen, Gianluigi Pillonetto
On the stability of reproducing kernel Hilbert spaces of discrete-time impulse responses. Autom. 95 (2018)
Feng Yin, Xinwei He, Lishuo Pan, Tianshi Chen, Zhi-Quan Tom Luo, Sergios Theodoridis
Sparse Structure Enabled Grid Spectral Mixture Kernel for Temporal Gaussian Process Regression. FUSION (2018)
Tianshi Chen
On kernel design for regularized LTI system identification. Autom. 90 (2018)
Francesca Paola Carli, Tianshi Chen, Lennart Ljung
Maximum Entropy Kernels for System Identification. IEEE Trans. Autom. Control. 62 (3) (2017)
Bi-Qiang Mu, Tianshi Chen
On Input Design for Regularized LTI System Identification: Power-constrained Input. CoRR (2017)
Bi-Qiang Mu, Tianshi Chen, Lennart Ljung
On Asymptotic Properties of Hyperparameter Estimators for Kernel-based Regularization Methods. CoRR (2017)
Tianshi Chen
Continuous-time DC kernel - a stable generalized first-order spline kernel. CoRR (2017)
Bi-Qiang Mu, Tianshi Chen, Lennart Ljung
On the input design for kernel-based regularized LTI system identification: Power-constrained inputs. CDC (2017)
Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto
Maximum entropy properties of discrete-time first-order stable spline kernel. Autom. 66 (2016)
Deheng Qian, Tianshi Chen, Hong Qiao
Background of shape contexts for point matching. Pattern Recognit. Lett. 84 (2016)
John Lataire, Tianshi Chen
Transfer function and transient estimation by Gaussian process regression in the frequency domain. Autom. 72 (2016)
Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung
Regularized linear system identification using atomic, nuclear and kernel-based norms: The role of the stability constraint. Autom. 69 (2016)
Tianshi Chen, Lennart Ljung
On kernel design for regularized LTI system identification. CoRR (2016)
Tianshi Chen, Gianluigi Pillonetto, Alessandro Chiuso, Lennart Ljung
Continuous-time DC kernel - A stable generalized first order spline kernel. CDC (2016)
Tohid Ardeshiri, Tianshi Chen
Maximum entropy property of discrete-time stable spline kernel. ICASSP (2015)
Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto
Maximum entropy properties of discrete-time first-order stable spline kernel. CoRR (2015)
Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung
Regularized linear system identification using atomic, nuclear and kernel-based norms: the role of the stability constraint. CoRR (2015)
Tianshi Chen, Gianluigi Pillonetto, Alessandro Chiuso, Lennart Ljung
Spectral analysis of the DC kernel for regularized system identification. CDC (2015)
Tianshi Chen, Lennart Ljung
Regularized system identification using orthonormal basis functions. ECC (2015)
Tianshi Chen, Lennart Ljung
Regularized system identification using orthonormal basis functions. CoRR (2015)
Henrik Ohlsson, Tianshi Chen, Sina Khoshfetrat Pakazad, Lennart Ljung, S. Shankar Sastry
Scalable anomaly detection in large homogeneous populations. Autom. 50 (5) (2014)
Alessandro Chiuso, Tianshi Chen, Lennart Ljung, Gianluigi Pillonetto
On the design of multiple kernels for nonparametric linear system identification. CDC (2014)
Francesca Paola Carli, Tianshi Chen, Lennart Ljung
Maximum Entropy Kernels for System Identification. CoRR (2014)
Tianshi Chen, Martin S. Andersen, Lennart Ljung, Alessandro Chiuso, Gianluigi Pillonetto
System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques. IEEE Trans. Autom. Control. 59 (11) (2014)
Gianluigi Pillonetto, Francesco Dinuzzo, Tianshi Chen, Giuseppe De Nicolao, Lennart Ljung
Kernel methods in system identification, machine learning and function estimation: A survey. Autom. 50 (3) (2014)
Tianshi Chen, Martin S. Andersen, Alessandro Chiuso, Gianluigi Pillonetto, Lennart Ljung
Anomaly detection in homogenous populations: A sparse multiple kernel-based regularization method. CDC (2014)
Tohid Ardeshiri, Tianshi Chen
Maximum Entropy Property of Discrete-time First Order Stable Spline Kernel. CoRR (2014)
Lennart Ljung, Tianshi Chen
What Can Regularization Offer for Estimation of Dynamical Systems? ALCOSP (2013)
Tianshi Chen, Lennart Ljung
Implementation of algorithms for tuning parameters in regularized least squares problems in system identification. Autom. 49 (7) (2013)
Alessandro Chiuso, Tianshi Chen, Lennart Ljung, Gianluigi Pillonetto
Regularization strategies for nonparametric system identification. CDC (2013)
Gianluigi Pillonetto, Tianshi Chen, Lennart Ljung
Kernel-Based Model Order Selection for Linear System Identification. ALCOSP (2013)
Henrik Ohlsson, Tianshi Chen, Sina Khoshfetrat Pakazad, Lennart Ljung, S. Shankar Sastry
Scalable Anomaly Detection in Large Homogenous Populations. CoRR (2013)
Gianluigi Pillonetto, Tianshi Chen, Lennart Ljung
Kernel-based model order selection for identification and prediction of linear dynamic systems. CDC (2013)
Lennart Ljung, Tianshi Chen
Convexity issues in system identification. ICCA (2013)
Tianshi Chen, Alessandro Chiuso, Gianluigi Pillonetto, Lennart Ljung
Rank-1 kernels for regularized system identification. CDC (2013)
Ruggero Carli, Tianshi Chen, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto
On the estimation of hyperparameters for Bayesian system identification with exponentially decaying kernels. CDC (2012)
Tianshi Chen, Lennart Ljung, Martin S. Andersen, Alessandro Chiuso, Francesca Paola Carli, Gianluigi Pillonetto
Sparse multiple kernels for impulse response estimation with majorization minimization algorithms. CDC (2012)
Tianshi Chen, Henrik Ohlsson, Lennart Ljung
On the estimation of transfer functions, regularizations and Gaussian processes - Revisited. Autom. 48 (8) (2012)
Tianshi Chen, Henrik Ohlsson, Graham C. Goodwin, Lennart Ljung
Kernel selection in linear system identification part II: A classical perspective. CDC/ECC (2011)
Tianshi Chen, Thomas B. Schön, Henrik Ohlsson, Lennart Ljung
Decentralized Particle Filter With Arbitrary State Decomposition. IEEE Trans. Signal Process. 59 (2) (2011)
Tianshi Chen, Jie Huang
A small gain approach to global stabilization of nonlinear feedforward systems with input unmodeled dynamics. Autom. 46 (6) (2010)
Tianshi Chen, Thomas B. Schön, Henrik Ohlsson, Lennart Ljung
Decentralization of particle filters using arbitrary state decomposition. CDC (2010)
Tianshi Chen
Comments on "State estimation for linear systems with state equality constraints" [Automatica 43 (2007) 1363-1368]. Autom. 46 (11) (2010)
Tianshi Chen, Jie Huang
Global Robust Output Regulation by State Feedback for Strict Feedforward Systems. IEEE Trans. Autom. Control. 54 (9) (2009)
Tianshi Chen, Jie Huang
Global robust stabilization of nonlinear strict feedforward systems with input unmodeled dynamics. ACC (2008)
Tianshi Chen, Jie Huang
Disturbance Attenuation of Feedforward Systems With Dynamic Uncertainty. IEEE Trans. Autom. Control. 53 (7) (2008)
Tianshi Chen, Jie Huang
Global robust stabilization of a class of uncertain feedforward systems. CDC (2007)
Tianshi Chen, Zhiyuan Liu, Hong Chen, Run Pei
Inverse optimal constrained input-to-state stabilization of nonlinear systems. ACC (2005)
Tianshi Chen, Zhiyuan Liu, Run Pei, Hong Chen
An approach to integral input-to-state stabilization via satisficing strategy. ICARCV (2004)