Recursive Identification of Wiener-Hammerstein Systems. - Bi-Qiang Mu; Han-Fu Chen (SIAM J. Control. Optim., 2012)

Recursive identification of errors-in-variables Wiener systems. - Bi-Qiang Mu; Han-Fu Chen (Autom., 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-Hammerstein systems. - Bi-Qiang Mu; Han-Fu Chen (Eur. J. Control, 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)

Structure analysis of matrix fraction descriptions for LTI Systems. - Bi-Qiang Mu; Han-Fu Chen; Le Yi Wang; George Yin 001 (CDC, 2015)

Identification of linear continuous-time systems under irregular and random output sampling. - Bi-Qiang Mu; Jin Guo 003; Le Yi Wang; Gang George Yin; Lijian Xu; Wei Xing Zheng 001 (Autom., 2015)

Recursive Identification of Multi-Input Multi-Output Errors-in-Variables Hammerstein Systems. - Bi-Qiang Mu; Han-Fu Chen (IEEE Trans. Autom. Control., 2015)

Consistent variable selection for high-dimensional nonparametric additive nonlinear systems. - Bi-Qiang Mu; Wei Xing Zheng 001; Er-Wei Bai (CDC, 2016)

On the input design for kernel-based regularized LTI system identification: Power-constrained inputs. - Bi-Qiang Mu; Tianshi Chen 001; Lennart Ljung (CDC, 2017)

A globally consistent nonlinear least squares estimator for identification of nonlinear rational systems. - Bi-Qiang Mu; Er-Wei Bai; Wei Xing Zheng 001; Quanmin Zhu (Autom., 2017)

Decision-Based System Identification and Adaptive Resource Allocation. - Jin Guo 003; Bi-Qiang Mu; Le Yi Wang; George Yin 001; Lijian Xu (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 001; Wei Xing Zheng 001 (IEEE Trans. Autom. Control., 2017)

Variable Selection and Identification of High-Dimensional Nonparametric Additive Nonlinear Systems. - Bi-Qiang Mu; Wei Xing Zheng 001; Er-Wei Bai (IEEE Trans. Autom. Control., 2017)

Asymptotic Properties of Hyperparameter Estimators by Using Cross-Validations for Regularized System Identification. - Bi-Qiang Mu; Tianshi Chen 001; Lennart Ljung (CDC, 2018)

On input design for regularized LTI system identification: Power-constrained input. - Bi-Qiang Mu; Tianshi Chen 001 (Autom., 2018)

On asymptotic properties of hyperparameter estimators for kernel-based regularization methods. - Bi-Qiang Mu; Tianshi Chen 001; Lennart Ljung (Autom., 2018)

On the Influence of Ill-conditioned Regression Matrix on Hyper-parameter Estimators for Kernel-based Regularization Methods. - Yue Ju; Tianshi Chen 001; Bi-Qiang Mu; Lennart Ljung (CDC, 2020)

Hamiltonian Identification of Quantum Networks from Sequential Boolean Measurements. - Biqiang Mu; Hongsheng Qi; Ian R. Petersen; Guodong Shi (CDC, 2020)

Quantum tomography by regularized linear regressions. - Biqiang Mu; Hongsheng Qi; Ian R. Petersen; Guodong Shi (Autom., 2020)

Measurement-induced Boolean dynamics and controllability for closed quantum networks. - Hongsheng Qi; Biqiang Mu; Ian R. Petersen; Guodong Shi (Autom., 2020)

On Effects of Condition Number of Regression Matrix upon Hyper-parameter Estimators for Kernel-based Regularization Methods. - Yue Ju; Tianshi Chen 001; Bi-Qiang Mu; Lennart Ljung (CoRR, 2020)

A shift in paradigm for system identification. - Lennart Ljung; Tianshi Chen 001; Bi-Qiang Mu (Int. J. Control, 2020)

On Asymptotic Distribution of Generalized Cross Validation Hyper-parameter Estimator for Regularized System Identification*. - Yue Ju; Tianshi Chen 001; Bi-Qiang Mu; Lennart Ljung (CDC, 2021)

Identification of Switched Linear Systems: Persistence of Excitation and Numerical Algorithms. - Bi-Qiang Mu; Tianshi Chen 001; Changming Cheng; Er-Wei Bai (CoRR, 2021)

Tutorial on Asymptotic Properties of Regularized Least Squares Estimator for Finite Impulse Response Model. - Yue Ju; Tianshi Chen 001; Bi-Qiang Mu; Lennart Ljung (CoRR, 2021)

Persistence of excitation for identifying switched linear systems. - Bi-Qiang Mu; Tianshi Chen 001; Changming Cheng; Er-Wei Bai (Autom., 2022)

Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyper-parameter Estimator. - Yue Ju; Bi-Qiang Mu; Lennart Ljung; Tianshi Chen 001 (CoRR, 2022)

Localizability With Range-Difference Measurements: Numerical Computation and Error Bound Analysis. - Guangyang Zeng; Biqiang Mu; Jieqiang Wei; Wing Shing Wong; Junfeng Wu 001 (IEEE/ACM Trans. Netw., 2022)

Global and Asymptotically Efficient Localization From Range Measurements. - Guangyang Zeng; Biqiang Mu; Jiming Chen 001; Zhiguo Shi 001; Junfeng Wu 001 (IEEE Trans. Signal Process., 2022)

Tilted Least-Squares Parameter Estimation of Linear Regression Models in the Presence of Outliers. - Biqiang Mu; Er-Wei Bai; Wei Xing Zheng 001 (CDC, 2023)

A Family of Hyper-parameter Estimators for Regularized Linear System Identification. - Meng Zhang; Tianshi Chen 001; Biqiang Mu (CDC, 2023)

An Efficient Implementation for Bayesian Manifold Regularization Method. - Junpeng Zhang; Yue Ju; Bo Wahlberg; Biqiang Mu; Tianshi Chen 001 (CDC, 2023)

Efficient Planar Pose Estimation via UWB Measurements. - Haodong Jiang; Wentao Wang; Yuan Shen; Xinghan Li; Xiaoqiang Ren; Biqiang Mu; Junfeng Wu 001 (ICRA, 2023)

CPnP: Consistent Pose Estimator for Perspective-n-Point Problem with Bias Elimination. - Guangyang Zeng; Shiyu Chen; Biqiang Mu; Guodong Shi; Junfeng Wu 001 (ICRA, 2023)

On embeddings and inverse embeddings of input design for regularized system identification. - Biqiang Mu; Tianshi Chen 001; He Kong; Bo Jiang 010; Lei Wang 126; Junfeng Wu 001 (Autom., 2023)

An efficient implementation for spatial-temporal Gaussian process regression and its applications. - Junpeng Zhang; Yue Ju; Biqiang Mu; Renxin Zhong; Tianshi Chen 001 (Autom., 2023)

Measurement-Induced Boolean Dynamics for Open Quantum Networks. - Hongsheng Qi; Biqiang Mu; Ian R. Petersen; Guodong Shi (IEEE Trans. Control. Netw. Syst., 2023)

Identifiability Analysis of Noise Covariances for LTI Stochastic Systems With Unknown Inputs. - He Kong; Salah Sukkarieh; Travis J. Arnold; Tianshi Chen 001; Biqiang Mu; Wei Xing Zheng 001 (IEEE Trans. Autom. Control., 2023)

Kernel-based regularized iterative learning control of repetitive linear time-varying systems. - Xian Yu; Xiaozhu Fang; Biqiang Mu; Tianshi Chen 001 (Autom., 2023)

Input Design for Regularized System Identification: Stationary Conditions and Sphere Preserving Algorithm. - Biqiang Mu; He Kong; Tianshi Chen 001; Bo Jiang 010; Lei Wang 059; Junfeng Wu 001 (IEEE Trans. Autom. Control., 2023)

Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyperparameter Estimator. - Yue Ju; Biqiang Mu; Lennart Ljung; Tianshi Chen 001 (IEEE Trans. Autom. Control., 2023)

Kernel-Based Regularized Continuous-Time System Identification from Sampled Data. - Xiaozhu Fang; Biqiang Mu; Tianshi Chen 001 (CDC, 2024)

Asymptotic properties of generalized maximum likelihood hyper-parameter estimator for regularized system identification. - Meng Zhang; Tianshi Chen 001; Biqiang Mu (CDC, 2024)

Consistent and Asymptotically Statistically-Efficient Solution to Camera Motion Estimation. - Guangyang Zeng; Qingcheng Zeng; Xinghan Li; Biqiang Mu; Jiming Chen 001; Ling Shi 001; Junfeng Wu 001 (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 001 (CoRR, 2024)

When cannot regularization improve the least squares estimate in the kernel-based regularized system identification. - Biqiang Mu; Lennart Ljung; Tianshi Chen 001 (Autom., 2024)

Consistent and Asymptotically Efficient Localization From Range- Difference Measurements. - Guangyang Zeng; Biqiang Mu; Ling Shi 001; Jiming Chen 001; Junfeng Wu 001 (IEEE Trans. Inf. Theory, 2024)

On Asymptotic Optimality of Cross-Validation Estimators for Kernel-Based Regularized System Identification. - Biqiang Mu; Tianshi Chen 001 (IEEE Trans. Autom. Control., 2024)

A Family of Hyperparameter Estimators Linking EB and SURE for Kernel-Based Regularization Methods. - Meng Zhang; Tianshi Chen 001; Biqiang Mu (IEEE Trans. Autom. Control., 2024)

On kernel design for regularized Volterra series identification of Wiener-Hammerstein systems. - Yu Xu; Biqiang Mu; Tianshi Chen 001 (Autom., 2025)

On Scalable Matching Algorithm for Multi-Targets Over Bearing-Only Sensor Networks. - Shenghua Hu; Wenchao Xue 001; Biqiang Mu; Haitao Fang; Yang Xu (IEEE Trans. Signal Inf. Process. over Networks, 2025)

RSS-Based Localization: Ensuring Consistency and Asymptotic Efficiency. - Shenghua Hu; Guangyang Zeng; Wenchao Xue 001; Haitao Fang; Junfeng Wu 001; Biqiang Mu (CoRR, 2025)

Consistent and Asymptotically Efficient Localization from Bearing-only Measurements. - Shenghua Hu; Guangyang Zeng; Wenchao Xue 001; Haitao Fang; Biqiang Mu (CoRR, 2025)