Xinpeng Liu

Orcid: 0000-0003-4185-4419

Affiliations:
  • Dalian University of Technology, School of Control Science and Engineering, China
  • Harbin Institute of Technology, Research Institute of Intelligent Control and Systems, China (PhD 2022)


According to our database1, Xinpeng Liu authored at least 14 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Robust Recursive Identification of Time-Delay Systems With Skewed Measurement Noise.
IEEE Trans. Instrum. Meas., 2025

2024
Design of Fluxgate Current Sensor Based on Magnetization Residence Times and Neural Networks.
Sensors, June, 2024

Multimodel Bayesian estimation for LPV time-delay systems with incomplete observations.
J. Frankl. Inst., 2024

A type-independent unknown parameters estimation method for lead component.
Proceedings of the 50th Annual Conference of the IEEE Industrial Electronics Society, 2024

PCB-Net: An Effective Deep Learning-Based Approach to PCBA Detection.
Proceedings of the 50th Annual Conference of the IEEE Industrial Electronics Society, 2024

2023
Exploiting Spike-and-Slab Prior for Variational Estimation of Nonlinear Systems.
IEEE Trans. Ind. Informatics, November, 2023

Variational Identification of Linearly Parameterized Nonlinear State-Space Systems.
IEEE Trans. Control. Syst. Technol., July, 2023

Improved Stochastic Recurrent Networks for Nonlinear State Space System Identification.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2022
Identification of Nonlinear State-Space Systems With Skewed Measurement Noises.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

2021
Robust Mixture Probabilistic Partial Least Squares Model for Soft Sensing With Multivariate Laplace Distribution.
IEEE Trans. Instrum. Meas., 2021

Robust Variational Inference for LPV Dual-Rate Systems With Randomly Delayed Outputs.
IEEE Trans. Instrum. Meas., 2021

Identification of switched FIR systems with random missing outputs: A variational Bayesian approach.
J. Frankl. Inst., 2021

LPV system identification with multiple-model approach based on shifted asymmetric laplace distribution.
Int. J. Syst. Sci., 2021

2020
A variational Bayesian approach for robust identification of linear parameter varying systems using mixture laplace distributions.
Neurocomputing, 2020


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