Tianshi Chen

106 papers C 4Misc 1Journal 73Unranked 28
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Class of Convex Optimization-Based Recursive Algorithms for Identification of Stochastic Systems.
IEEE Trans. Autom. Control.
Mingxia Ding, Wenxiao Zhao, Tianshi Chen, Weidong Zhang
2026 J jnl
Fast Kernel-Based Regularized System Identification Using Bayesian Optimization.
IEEE Trans. Autom. Control.
Lujing Chen, Tianshi Chen, Martin S. Andersen
2025 — conf
Efficient and Stable Implementation of Algorithms for Kernel-based Regularized System Identification using Givens-vector Representation.
CDC
Zhuohua Shen, Junpeng Zhang, Martin S. Andersen, Tianshi Chen
2025 J jnl
Numerically Efficient and Stable Algorithms for Kernel-Based Regularized System Identification Using Givens-Vector Representation.
CoRR
Zhuohua Shen, Junpeng Zhang, Martin S. Andersen, Tianshi Chen
2025 J jnl
On Kernel Design for Regularized Volterra Series Identification of Wiener-Hammerstein Systems.
CoRR
Yu Xu, Biqiang Mu, Tianshi Chen
2025 J jnl
On kernel design for regularized Volterra series identification of Wiener-Hammerstein systems.
Autom.
Yu Xu, Biqiang Mu, Tianshi Chen
2025 J jnl
Parameterized gain-constrained Kalman Filtering via singular value decomposition.
Autom.
Chenxiao Wang, Fuxing Yao, Tianshi Chen, Wei Xing Zheng, Guangren Duan, He Kong
2024 J jnl
A Class of Convex Optimization-Based Recursive Algorithms for Identification of Stochastic Systems.
CoRR
Mingxia Ding, Wenxiao Zhao, Tianshi Chen
2024 J jnl
A Family of Hyperparameter Estimators Linking EB and SURE for Kernel-Based Regularization Methods.
IEEE Trans. Autom. Control.
Meng Zhang, Tianshi Chen, Biqiang Mu
2024 J jnl
A Local Gaussian Process Regression Approach to Frequency Response Function Estimation.
CoRR
Xiaozhu Fang, Yu Xu, Tianshi Chen
2024 — conf
Asymptotic properties of generalized maximum likelihood hyper-parameter estimator for regularized system identification.
CDC
Meng Zhang, Tianshi Chen, Biqiang Mu
2024 J jnl
Distributed Iterative Learning Control of Nonlinear Multiagent Systems Using Controller-Based Dynamic Linearization Method.
IEEE Trans. Cybern.
Xian Yu, Tianshi Chen
2024 — conf
Kernel-Based Regularized Continuous-Time System Identification from Sampled Data.
CDC
Xiaozhu Fang, Biqiang Mu, Tianshi Chen
2024 J jnl
Kernel-Based Regularized Continuous-Time System Identification from Sampled Data.
CoRR
Xiaozhu Fang, Biqiang Mu, Tianshi Chen
2024 J jnl
On Asymptotic Optimality of Cross-Validation Estimators for Kernel-Based Regularized System Identification.
IEEE Trans. Autom. Control.
Biqiang Mu, Tianshi Chen
2024 J jnl
On kernel design for regularized non-causal system identification.
Autom.
Xiaozhu Fang, Tianshi Chen
2024 J jnl
When cannot regularization improve the least squares estimate in the kernel-based regularized system identification.
Autom.
Biqiang Mu, Lennart Ljung, Tianshi Chen
2023 — conf
A Family of Hyper-parameter Estimators for Regularized Linear System Identification.
CDC
Meng Zhang, Tianshi Chen, Biqiang Mu
2023 — conf
An Efficient Implementation for Bayesian Manifold Regularization Method.
CDC
Junpeng Zhang, Yue Ju, Bo Wahlberg, Biqiang Mu, Tianshi Chen
2023 — conf
An Efficient Implementation for Kernel-Based Regularized System Identification with Periodic Input Signals.
CDC
Zhuohua Shen, Yu Xu, Martin S. Andersen, Tianshi Chen
2023 J jnl
An efficient implementation for spatial-temporal Gaussian process regression and its applications.
Autom.
Junpeng Zhang, Yue Ju, Biqiang Mu, Renxin Zhong, Tianshi Chen
2023 J jnl
Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyperparameter Estimator.
IEEE Trans. Autom. Control.
Yue Ju, Biqiang Mu, Lennart Ljung, Tianshi Chen
2023 J jnl
Data-Driven Distributed Adaptive Consensus Tracking of Nonlinear Multiagent Systems: A Controller-Based Dynamic Linearization Method.
IEEE Trans. Syst. Man Cybern. Syst.
Xian Yu, Zhongsheng Hou, Tianshi Chen
2023 J jnl
Identifiability Analysis of Noise Covariances for LTI Stochastic Systems With Unknown Inputs.
IEEE Trans. Autom. Control.
He Kong, Salah Sukkarieh, Travis J. Arnold, Tianshi Chen, Biqiang Mu, Wei Xing Zheng
2023 J jnl
Input Design for Regularized System Identification: Stationary Conditions and Sphere Preserving Algorithm.
IEEE Trans. Autom. Control.
Biqiang Mu, He Kong, Tianshi Chen, Bo Jiang, Lei Wang, Junfeng Wu
2023 J jnl
Kernel-based Regularized Iterative Learning Control of Repetitive Linear Time-varying Systems.
CoRR
Xian Yu, Xiaozhu Fang, Biqiang Mu, Tianshi Chen
2023 J jnl
Kernel-based regularized iterative learning control of repetitive linear time-varying systems.
Autom.
Xian Yu, Xiaozhu Fang, Biqiang Mu, Tianshi Chen
2023 J jnl
On Kernel Design for Regularized Non-Causal System Identification.
CoRR
Xiaozhu Fang, Tianshi Chen
2023 J jnl
On embeddings and inverse embeddings of input design for regularized system identification.
Autom.
Biqiang Mu, Tianshi Chen, He Kong, Bo Jiang, Lei Wang, Junfeng Wu
2023 — conf
Towards Scalable Kernel-Based Regularized System Identification.
CDC
Lujing Chen, Tianshi Chen, Utkarsh Detha, Martin S. Andersen
2022 J jnl
An Efficient Implementation for Spatial-Temporal Gaussian Process Regression and Its Applications.
CoRR
Junpeng Zhang, Yue Ju, Bi-Qiang Mu, Renxin Zhong, Tianshi Chen
2022 J jnl
Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyper-parameter Estimator.
CoRR
Yue Ju, Bi-Qiang Mu, Lennart Ljung, Tianshi Chen
2022 J jnl
On Embeddings and Inverse Embeddings of Input Design for Regularized System Identification.
CoRR
Biqiang Mu, Tianshi Chen, He Kong, Bo Jiang, Lei Wang, Junfeng Wu
2022 J jnl
Persistence of excitation for identifying switched linear systems.
Autom.
Bi-Qiang Mu, Tianshi Chen, Changming Cheng, Er-Wei Bai
2022 J jnl
The noise covariances of linear Gaussian systems with unknown inputs are not uniquely identifiable using autocovariance least-squares.
Syst. Control. Lett.
He Kong, Salah Sukkarieh, Travis J. Arnold, Tianshi Chen, Wei Xing Zheng
2021 J jnl
Bus arrival time prediction and reliability analysis: An experimental comparison of functional data analysis and Bayesian support vector regression.
Appl. Soft Comput.
Yunping Huang, C. Chen, Z. C. Su, Tianshi Chen, Agachai Sumalee, Tianlu Pan, Renxin Zhong
2021 J jnl
Identification of Switched Linear Systems: Persistence of Excitation and Numerical Algorithms.
CoRR
Bi-Qiang Mu, Tianshi Chen, Changming Cheng, Er-Wei Bai
2021 J jnl
Kalman filtering under unknown inputs and norm constraints.
Autom.
He Kong, Mao Shan, Salah Sukkarieh, Tianshi Chen, Wei Xing Zheng
2021 — conf
On Asymptotic Distribution of Generalized Cross Validation Hyper-parameter Estimator for Regularized System Identification
CDC
Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung
2021 J jnl
On semiseparable kernels and efficient implementation for regularized system identification and function estimation.
Autom.
Tianshi Chen, Martin S. Andersen
2021 J jnl
Tutorial on Asymptotic Properties of Regularized Least Squares Estimator for Finite Impulse Response Model.
CoRR
Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung
2020 J jnl
A shift in paradigm for system identification.
Int. J. Control
Lennart Ljung, Tianshi Chen, Bi-Qiang Mu
2020 J jnl
Accelerated Sparse Bayesian Learning via Screening Test and Its Applications.
CoRR
Yiping Jiang, Tianshi Chen
2020 J jnl
Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series.
IEEE Trans. Signal Process.
Feng Yin, Lishuo Pan, Tianshi Chen, Sergios Theodoridis, Zhi-Quan Tom Luo, Abdelhak M. Zoubir
2020 J jnl
On Effects of Condition Number of Regression Matrix upon Hyper-parameter Estimators for Kernel-based Regularization Methods.
CoRR
Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung
2020 — conf
On the Influence of Ill-conditioned Regression Matrix on Hyper-parameter Estimators for Kernel-based Regularization Methods.
CDC
Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung
2020 J jnl
Regularized LTI system identification in the presence of outliers: A variational EM approach.
Autom.
Martin Lindfors, Tianshi Chen
2020 J jnl
Smoothing Splines and Rank Structured Matrices: Revisiting the Spline Kernel.
SIAM J. Matrix Anal. Appl.
Martin S. Andersen, Tianshi Chen
2019 J jnl
Cramér-Rao Bounds for Filtering Based on Gaussian Process State-Space Models.
IEEE Trans. Signal Process.
Yuxin Zhao, Carsten Fritsche, Gustaf Hendeby, Feng Yin, Tianshi Chen, Fredrik Gunnarsson
2019 J jnl
Distributed Gaussian Processes Hyperparameter Optimization for Big Data Using Proximal ADMM.
IEEE Signal Process. Lett.
Ang Xie, Feng Yin, Yue Xu, Bo Ai, Tianshi Chen, Shuguang Cui
2019 J jnl
Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series.
CoRR
Feng Yin, Lishuo Pan, Xinwei He, Tianshi Chen, Sergios Theodoridis, Zhi-Quan Tom Luo
2019 J jnl
Parameter estimation of discrete-time sinusoidal signals: A nonlinear control approach.
Autom.
Teng Jiang, Dabo Xu, Tianshi Chen, Andong Sheng
2019 — conf
Recursive Implementation of Gaussian Process Regression for Spatial-Temporal Data Modeling.
WCSP
Ye Kuang, Tianshi Chen, Feng Yin, Renxin Zhong
2018 — conf
Asymptotic Properties of Hyperparameter Estimators by Using Cross-Validations for Regularized System Identification.
CDC
Bi-Qiang Mu, Tianshi Chen, Lennart Ljung
2018 J jnl
Continuous-Time DC Kernel - A Stable Generalized First-Order Spline Kernel.
IEEE Trans. Autom. Control.
Tianshi Chen
2018 J jnl
On asymptotic properties of hyperparameter estimators for kernel-based regularization methods.
Autom.
Bi-Qiang Mu, Tianshi Chen, Lennart Ljung
2018 J jnl
On input design for regularized LTI system identification: Power-constrained input.
Autom.
Bi-Qiang Mu, Tianshi Chen
2018 J jnl
On kernel design for regularized LTI system identification.
Autom.
Tianshi Chen
2018 J jnl
On the stability of reproducing kernel Hilbert spaces of discrete-time impulse responses.
Autom.
Tianshi Chen, Gianluigi Pillonetto
2018 C conf
Sparse Structure Enabled Grid Spectral Mixture Kernel for Temporal Gaussian Process Regression.
FUSION
Feng Yin, Xinwei He, Lishuo Pan, Tianshi Chen, Zhi-Quan Tom Luo, Sergios Theodoridis
2017 J jnl
Continuous-time DC kernel - a stable generalized first-order spline kernel.
CoRR
Tianshi Chen
2017 J jnl
Maximum Entropy Kernels for System Identification.
IEEE Trans. Autom. Control.
Francesca Paola Carli, Tianshi Chen, Lennart Ljung
2017 J jnl
On Asymptotic Properties of Hyperparameter Estimators for Kernel-based Regularization Methods.
CoRR
Bi-Qiang Mu, Tianshi Chen, Lennart Ljung
2017 J jnl
On Input Design for Regularized LTI System Identification: Power-constrained Input.
CoRR
Bi-Qiang Mu, Tianshi Chen
2017 — conf
On the input design for kernel-based regularized LTI system identification: Power-constrained inputs.
CDC
Bi-Qiang Mu, Tianshi Chen, Lennart Ljung
2016 J jnl
Background of shape contexts for point matching.
Pattern Recognit. Lett.
Deheng Qian, Tianshi Chen, Hong Qiao
2016 — conf
Continuous-time DC kernel - A stable generalized first order spline kernel.
CDC
Tianshi Chen, Gianluigi Pillonetto, Alessandro Chiuso, Lennart Ljung
2016 J jnl
Maximum entropy properties of discrete-time first-order stable spline kernel.
Autom.
Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto
2016 J jnl
On kernel design for regularized LTI system identification.
CoRR
Tianshi Chen, Lennart Ljung
2016 J jnl
Regularized linear system identification using atomic, nuclear and kernel-based norms: The role of the stability constraint.
Autom.
Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung
2016 J jnl
Transfer function and transient estimation by Gaussian process regression in the frequency domain.
Autom.
John Lataire, Tianshi Chen
2015 J jnl
Maximum entropy properties of discrete-time first-order stable spline kernel.
CoRR
Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto
2015 Misc conf
Maximum entropy property of discrete-time stable spline kernel.
ICASSP
Tohid Ardeshiri, Tianshi Chen
2015 J jnl
Regularized linear system identification using atomic, nuclear and kernel-based norms: the role of the stability constraint.
CoRR
Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung
2015 — conf
Regularized system identification using orthonormal basis functions.
ECC
Tianshi Chen, Lennart Ljung
2015 J jnl
Regularized system identification using orthonormal basis functions.
CoRR
Tianshi Chen, Lennart Ljung
2015 — conf
Spectral analysis of the DC kernel for regularized system identification.
CDC
Tianshi Chen, Gianluigi Pillonetto, Alessandro Chiuso, Lennart Ljung
2014 — conf
Anomaly detection in homogenous populations: A sparse multiple kernel-based regularization method.
CDC
Tianshi Chen, Martin S. Andersen, Alessandro Chiuso, Gianluigi Pillonetto, Lennart Ljung
2014 J jnl
Kernel methods in system identification, machine learning and function estimation: A survey.
Autom.
Gianluigi Pillonetto, Francesco Dinuzzo, Tianshi Chen, Giuseppe De Nicolao, Lennart Ljung
2014 J jnl
Maximum Entropy Kernels for System Identification.
CoRR
Francesca Paola Carli, Tianshi Chen, Lennart Ljung
2014 J jnl
Maximum Entropy Property of Discrete-time First Order Stable Spline Kernel.
CoRR
Tohid Ardeshiri, Tianshi Chen
2014 — conf
On the design of multiple kernels for nonparametric linear system identification.
CDC
Alessandro Chiuso, Tianshi Chen, Lennart Ljung, Gianluigi Pillonetto
2014 J jnl
Scalable anomaly detection in large homogeneous populations.
Autom.
Henrik Ohlsson, Tianshi Chen, Sina Khoshfetrat Pakazad, Lennart Ljung, S. Shankar Sastry
2014 J jnl
System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques.
IEEE Trans. Autom. Control.
Tianshi Chen, Martin S. Andersen, Lennart Ljung, Alessandro Chiuso, Gianluigi Pillonetto
2013 — conf
Convexity issues in system identification.
ICCA
Lennart Ljung, Tianshi Chen
2013 J jnl
Implementation of algorithms for tuning parameters in regularized least squares problems in system identification.
Autom.
Tianshi Chen, Lennart Ljung
2013 — conf
Kernel-Based Model Order Selection for Linear System Identification.
ALCOSP
Gianluigi Pillonetto, Tianshi Chen, Lennart Ljung
2013 — conf
Kernel-based model order selection for identification and prediction of linear dynamic systems.
CDC
Gianluigi Pillonetto, Tianshi Chen, Lennart Ljung
2013 — conf
Rank-1 kernels for regularized system identification.
CDC
Tianshi Chen, Alessandro Chiuso, Gianluigi Pillonetto, Lennart Ljung
2013 — conf
Regularization strategies for nonparametric system identification.
CDC
Alessandro Chiuso, Tianshi Chen, Lennart Ljung, Gianluigi Pillonetto
2013 J jnl
Scalable Anomaly Detection in Large Homogenous Populations.
CoRR
Henrik Ohlsson, Tianshi Chen, Sina Khoshfetrat Pakazad, Lennart Ljung, S. Shankar Sastry
2013 — conf
What Can Regularization Offer for Estimation of Dynamical Systems?
ALCOSP
Lennart Ljung, Tianshi Chen
2012 — conf
On the estimation of hyperparameters for Bayesian system identification with exponentially decaying kernels.
CDC
Ruggero Carli, Tianshi Chen, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto
2012 J jnl
On the estimation of transfer functions, regularizations and Gaussian processes - Revisited.
Autom.
Tianshi Chen, Henrik Ohlsson, Lennart Ljung
2012 — conf
Sparse multiple kernels for impulse response estimation with majorization minimization algorithms.
CDC
Tianshi Chen, Lennart Ljung, Martin S. Andersen, Alessandro Chiuso, Francesca Paola Carli, Gianluigi Pillonetto
2011 J jnl
Decentralized Particle Filter With Arbitrary State Decomposition.
IEEE Trans. Signal Process.
Tianshi Chen, Thomas B. Schön, Henrik Ohlsson, Lennart Ljung
2011 — conf
Kernel selection in linear system identification part II: A classical perspective.
CDC/ECC
Tianshi Chen, Henrik Ohlsson, Graham C. Goodwin, Lennart Ljung
2010 J jnl
A small gain approach to global stabilization of nonlinear feedforward systems with input unmodeled dynamics.
Autom.
Tianshi Chen, Jie Huang
2010 J jnl
Comments on "State estimation for linear systems with state equality constraints" [Automatica 43 (2007) 1363-1368].
Autom.
Tianshi Chen
2010 — conf
Decentralization of particle filters using arbitrary state decomposition.
CDC
Tianshi Chen, Thomas B. Schön, Henrik Ohlsson, Lennart Ljung
2009 J jnl
Global Robust Output Regulation by State Feedback for Strict Feedforward Systems.
IEEE Trans. Autom. Control.
Tianshi Chen, Jie Huang
2008 J jnl
Disturbance Attenuation of Feedforward Systems With Dynamic Uncertainty.
IEEE Trans. Autom. Control.
Tianshi Chen, Jie Huang
2008 C conf
Global robust stabilization of nonlinear strict feedforward systems with input unmodeled dynamics.
ACC
Tianshi Chen, Jie Huang
2007 — conf
Global robust stabilization of a class of uncertain feedforward systems.
CDC
Tianshi Chen, Jie Huang
2005 C conf
Inverse optimal constrained input-to-state stabilization of nonlinear systems.
ACC
Tianshi Chen, Zhiyuan Liu, Hong Chen, Run Pei
2004 C conf
An approach to integral input-to-state stabilization via satisficing strategy.
ICARCV
Tianshi Chen, Zhiyuan Liu, Run Pei, Hong Chen