Biqiang Mu

According to our database, Biqiang Mu authored at least 49 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Family of Hyperparameter Estimators Linking EB and SURE for Kernel-Based Regularization Methods.

Meng Zhang, Tianshi Chen, Biqiang Mu

IEEE Trans. Autom. Control., December, 2024

On Asymptotic Optimality of Cross-Validation Estimators for Kernel-Based Regularized System Identification.

Biqiang Mu, Tianshi Chen

IEEE Trans. Autom. Control., July, 2024

Consistent and Asymptotically Efficient Localization From Range- Difference Measurements.

Guangyang Zeng, Biqiang Mu, Ling Shi, Jiming Chen, Junfeng Wu

IEEE Trans. Inf. Theory, April, 2024

When cannot regularization improve the least squares estimate in the kernel-based regularized system identification.

Biqiang Mu, Lennart Ljung, Tianshi Chen

Autom., February, 2024

Kernel-Based Regularized Continuous-Time System Identification from Sampled Data.

Xiaozhu Fang, Biqiang Mu, Tianshi Chen

CoRR, 2024

Optimal camera-robot pose estimation in linear time from points and lines.

Guangyang Zeng, Biqiang Mu, Qingcheng Zeng, Yuchen Song, Chulin Dai, Guodong Shi, Junfeng Wu

CoRR, 2024

Consistent and Asymptotically Statistically-Efficient Solution to Camera Motion Estimation.

Guangyang Zeng, Qingcheng Zeng, Xinghan Li, Biqiang Mu, Jiming Chen, Ling Shi, Junfeng Wu

CoRR, 2024

2023

Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyperparameter Estimator.

Yue Ju, Biqiang Mu, Lennart Ljung, Tianshi Chen

IEEE Trans. Autom. Control., December, 2023

Input Design for Regularized System Identification: Stationary Conditions and Sphere Preserving Algorithm.

Biqiang Mu, He Kong, Tianshi Chen, Bo Jiang, Lei Wang, Junfeng Wu

IEEE Trans. Autom. Control., September, 2023

Kernel-based regularized iterative learning control of repetitive linear time-varying systems.

Xian Yu, Xiaozhu Fang, Biqiang Mu, Tianshi Chen

Autom., August, 2023

Identifiability Analysis of Noise Covariances for LTI Stochastic Systems With Unknown Inputs.

He Kong, Salah Sukkarieh, Travis J. Arnold, Tianshi Chen, Biqiang Mu, Wei Xing Zheng

IEEE Trans. Autom. Control., July, 2023

Measurement-Induced Boolean Dynamics for Open Quantum Networks.

Hongsheng Qi, Biqiang Mu, Ian R. Petersen, Guodong Shi

IEEE Trans. Control. Netw. Syst., March, 2023

An efficient implementation for spatial-temporal Gaussian process regression and its applications.

Junpeng Zhang, Yue Ju, Biqiang Mu, Renxin Zhong, Tianshi Chen

Autom., 2023

On embeddings and inverse embeddings of input design for regularized system identification.

Biqiang Mu, Tianshi Chen, He Kong, Bo Jiang, Lei Wang, Junfeng Wu

Autom., 2023

CPnP: Consistent Pose Estimator for Perspective-n-Point Problem with Bias Elimination.

Guangyang Zeng, Shiyu Chen, Biqiang Mu, Guodong Shi, Junfeng Wu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Efficient Planar Pose Estimation via UWB Measurements.

Haodong Jiang, Wentao Wang, Yuan Shen, Xinghan Li, Xiaoqiang Ren, Biqiang Mu, Junfeng Wu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

An Efficient Implementation for Bayesian Manifold Regularization Method.

Junpeng Zhang, Yue Ju, Bo Wahlberg, Biqiang Mu, Tianshi Chen

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

A Family of Hyper-parameter Estimators for Regularized Linear System Identification.

Meng Zhang, Tianshi Chen, Biqiang Mu

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Tilted Least-Squares Parameter Estimation of Linear Regression Models in the Presence of Outliers.

Biqiang Mu, Er-Wei Bai, Wei Xing Zheng

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Global and Asymptotically Efficient Localization From Range Measurements.

Guangyang Zeng, Biqiang Mu, Jiming Chen, Zhiguo Shi, Junfeng Wu

IEEE Trans. Signal Process., 2022

Localizability With Range-Difference Measurements: Numerical Computation and Error Bound Analysis.

Guangyang Zeng, Biqiang Mu, Jieqiang Wei, Wing Shing Wong, Junfeng Wu

IEEE/ACM Trans. Netw., 2022

Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyper-parameter Estimator.

Yue Ju, Bi-Qiang Mu, Lennart Ljung, Tianshi Chen

CoRR, 2022

Persistence of excitation for identifying switched linear systems.

Bi-Qiang Mu, Tianshi Chen, Changming Cheng, Er-Wei Bai

Autom., 2022

2021

Tutorial on Asymptotic Properties of Regularized Least Squares Estimator for Finite Impulse Response Model.

Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung

CoRR, 2021

Identification of Switched Linear Systems: Persistence of Excitation and Numerical Algorithms.

Bi-Qiang Mu, Tianshi Chen, Changming Cheng, Er-Wei Bai

CoRR, 2021

On Asymptotic Distribution of Generalized Cross Validation Hyper-parameter Estimator for Regularized System Identification^*.

Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

A shift in paradigm for system identification.

Lennart Ljung, Tianshi Chen, Bi-Qiang Mu

Int. J. Control, 2020

On Effects of Condition Number of Regression Matrix upon Hyper-parameter Estimators for Kernel-based Regularization Methods.

Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung

CoRR, 2020

Measurement-induced Boolean dynamics and controllability for closed quantum networks.

Hongsheng Qi, Biqiang Mu, Ian R. Petersen, Guodong Shi

Autom., 2020

Quantum tomography by regularized linear regressions.

Biqiang Mu, Hongsheng Qi, Ian R. Petersen, Guodong Shi

Autom., 2020

Hamiltonian Identification of Quantum Networks from Sequential Boolean Measurements.

Biqiang Mu, Hongsheng Qi, Ian R. Petersen, Guodong Shi

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

On the Influence of Ill-conditioned Regression Matrix on Hyper-parameter Estimators for Kernel-based Regularization Methods.

Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2018

On asymptotic properties of hyperparameter estimators for kernel-based regularization methods.

Bi-Qiang Mu, Tianshi Chen, Lennart Ljung

Autom., 2018

On input design for regularized LTI system identification: Power-constrained input.

Bi-Qiang Mu, Tianshi Chen

Autom., 2018

Asymptotic Properties of Hyperparameter Estimators by Using Cross-Validations for Regularized System Identification.

Bi-Qiang Mu, Tianshi Chen, Lennart Ljung

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Variable Selection and Identification of High-Dimensional Nonparametric Additive Nonlinear Systems.

Bi-Qiang Mu, Wei Xing Zheng, Er-Wei Bai

IEEE Trans. Autom. Control., 2017

Recursive Identification of Hammerstein Systems: Convergence Rate and Asymptotic Normality.

Bi-Qiang Mu, Han-Fu Chen, Le Yi Wang, George Yin, Wei Xing Zheng

IEEE Trans. Autom. Control., 2017

Decision-Based System Identification and Adaptive Resource Allocation.

Jin Guo, Bi-Qiang Mu, Le Yi Wang, George Yin, Lijian Xu

IEEE Trans. Autom. Control., 2017

A globally consistent nonlinear least squares estimator for identification of nonlinear rational systems.

Bi-Qiang Mu, Er-Wei Bai, Wei Xing Zheng, Quanmin Zhu

Autom., 2017

On the input design for kernel-based regularized LTI system identification: Power-constrained inputs.

Bi-Qiang Mu, Tianshi Chen, Lennart Ljung

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Consistent variable selection for high-dimensional nonparametric additive nonlinear systems.

Bi-Qiang Mu, Wei Xing Zheng, Er-Wei Bai

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Recursive Identification of Multi-Input Multi-Output Errors-in-Variables Hammerstein Systems.

Bi-Qiang Mu, Han-Fu Chen

IEEE Trans. Autom. Control., 2015

Identification of linear continuous-time systems under irregular and random output sampling.

Bi-Qiang Mu, Jin Guo, Le Yi Wang, Gang George Yin, Lijian Xu, Wei Xing Zheng

Autom., 2015

Structure analysis of matrix fraction descriptions for LTI Systems.

Bi-Qiang Mu, Han-Fu Chen, Le Yi Wang, George Yin

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

Characterization and Identification of Matrix Fraction Descriptions for LTI Systems.

Bi-Qiang Mu, Han-Fu Chen, Le Yi Wang, Gang George Yin

SIAM J. Control. Optim., 2014

Recursive identification of errors-in-variables Wiener-Hammerstein systems.

Bi-Qiang Mu, Han-Fu Chen

Eur. J. Control, 2014

2013

Recursive Identification of MIMO Wiener Systems.

Bi-Qiang Mu, Han-Fu Chen

IEEE Trans. Autom. Control., 2013

Recursive identification of errors-in-variables Wiener systems.

Bi-Qiang Mu, Han-Fu Chen

Autom., 2013

2012

Recursive Identification of Wiener-Hammerstein Systems.

Bi-Qiang Mu, Han-Fu Chen

SIAM J. Control. Optim., 2012