Tianshi Chen 0001 - researchr alias

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Viewing Publication 1 - 19 from 19

2024

On kernel design for regularized non-causal system identificationXiaozhu Fang, Tianshi Chen 0001. automatica, 159:111335, January 2024. [doi]

When cannot regularization improve the least squares estimate in the kernel-based regularized system identificationBiqiang Mu, Lennart Ljung, Tianshi Chen 0001. automatica, 160:111442, February 2024. [doi]

2023

Towards Scalable Kernel-Based Regularized System IdentificationLujing Chen, Tianshi Chen 0001, Utkarsh Detha, Martin S. Andersen. cdc 2023: 1498-1504 [doi]

Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyperparameter EstimatorYue Ju, Biqiang Mu, Lennart Ljung, Tianshi Chen 0001. tac, 68(12):7224-7239, December 2023. [doi]

Identifiability Analysis of Noise Covariances for LTI Stochastic Systems With Unknown InputsHe Kong, Salah Sukkarieh, Travis J. Arnold, Tianshi Chen 0001, Biqiang Mu, Wei Xing Zheng 0001. tac, 68(7):4459-4466, July 2023. [doi]

Input Design for Regularized System Identification: Stationary Conditions and Sphere Preserving AlgorithmBiqiang Mu, He Kong, Tianshi Chen 0001, Bo Jiang 0010, Lei Wang 0059, Junfeng Wu 0001. tac, 68(9):5714-5720, September 2023. [doi]

On embeddings and inverse embeddings of input design for regularized system identificationBiqiang Mu, Tianshi Chen 0001, He Kong, Bo Jiang, Lei Wang, Junfeng Wu 0001. automatica, 147:110673, 2023. [doi]

An Efficient Implementation for Kernel-Based Regularized System Identification with Periodic Input SignalsZhuohua Shen, Yu Xu, Martin S. Andersen, Tianshi Chen 0001. cdc 2023: 1480-1485 [doi]

Kernel-based regularized iterative learning control of repetitive linear time-varying systemsXian Yu, Xiaozhu Fang, Biqiang Mu, Tianshi Chen 0001. automatica, 154:111047, August 2023. [doi]

Data-Driven Distributed Adaptive Consensus Tracking of Nonlinear Multiagent Systems: A Controller-Based Dynamic Linearization MethodXian Yu, Zhongsheng Hou, Tianshi Chen 0001. tsmc, 53(11):6953-6965, November 2023. [doi]

An Efficient Implementation for Bayesian Manifold Regularization MethodJunpeng Zhang, Yue Ju, Bo Wahlberg, Biqiang Mu, Tianshi Chen 0001. cdc 2023: 6223-6228 [doi]

An efficient implementation for spatial-temporal Gaussian process regression and its applicationsJunpeng Zhang, Yue Ju, Biqiang Mu, Renxin Zhong, Tianshi Chen 0001. automatica, 147:110679, 2023. [doi]

A Family of Hyper-parameter Estimators for Regularized Linear System IdentificationMeng Zhang, Tianshi Chen 0001, Biqiang Mu. cdc 2023: 6236-6241 [doi]

2022

The noise covariances of linear Gaussian systems with unknown inputs are not uniquely identifiable using autocovariance least-squaresHe Kong, Salah Sukkarieh, Travis J. Arnold, Tianshi Chen 0001, Wei Xing Zheng 0001. scl, 162:105172, 2022. [doi]

Persistence of excitation for identifying switched linear systemsBi-Qiang Mu, Tianshi Chen 0001, Changming Cheng, Er-Wei Bai. automatica, 137:110142, 2022. [doi]

2021

2005

Inverse optimal constrained input-to-state stabilization of nonlinear systemsTianshi Chen 0001, Zhiyuan Liu 0005, Hong Chen 0003, Run Pei. amcc 2005: 1425-1430 [doi]

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