Shu-Li Sun

Orcid: 0000-0001-5325-3608

Affiliations:
  • Department of Automation, Heilongjiang University, Harbin, China


According to our database1, Shu-Li Sun authored at least 92 papers between 2003 and 2024.

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

Timeline

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Bibliography

2024
Distributed filtering for multi-sensor networked systems with stochastic communication protocol and correlated noises.
Inf. Fusion, April, 2024

2023
Globally optimal distributed and sequential state fusion filters for multi-sensor systems with correlated noises.
Inf. Fusion, November, 2023

Stability Analysis of Distributed Fusion Estimation Algorithm for Complex Networked Systems.
Neural Process. Lett., October, 2023

Design of distributed recursive filters based on data compression for sensor networks.
Signal Process., June, 2023

Distributed recursive filtering for multi-rate uniform sampling systems with packet losses in sensor networks.
Int. J. Syst. Sci., June, 2023

Distributed <i>H</i><sub>∞</sub> fusion filtering for multi-sensor networked systems with DoS attacks and sensor saturations.
Digit. Signal Process., April, 2023

Recursive distributed fusion estimation for multi-sensor systems with missing measurements, multiple random transmission delays and packet losses.
Signal Process., 2023

Distributed Optimal and Self-Tuning Filters Based on Compressed Data for Networked Stochastic Uncertain Systems with Deception Attacks.
Sensors, 2023

2022
Estimator for Multirate Sampling Systems With Multiple Random Measurement Time Delays.
IEEE Trans. Autom. Control., 2022

Distributed Filtering for Sensor Networks with Fading Measurements and Compensations for Transmission Delays and Losses.
Signal Process., 2022

Distributed Filtering for Multi-sensor Systems with Missing Data.
Inf. Fusion, 2022

Distributed Kalman filtering for sensor networks with random sensor activation, delays, and packet dropouts.
Int. J. Syst. Sci., 2022

2021
Distributed Fusion Estimation for Multisensor Multirate Systems With Packet Dropout Compensations and Correlated Noises.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Estimation for Networked Random Sampling Systems With Packet Losses.
IEEE Trans. Syst. Man Cybern. Syst., 2021

CT Image Reconstruction via Nonlocal Low-Rank Regularization and Data-Driven Tight Frame.
Symmetry, 2021

Early Weak Fault Diagnosis of Rolling Bearings Based on Fiber Bragg Grating Sensing Monitoring.
Symmetry, 2021

Event-triggered optimal and suboptimal distributed Kalman consensus filters for sensor networks.
J. Frankl. Inst., 2021

Event-triggered sequential fusion filters based on estimators of observation noises for multi-sensor systems with correlated noises.
Digit. Signal Process., 2021

2020
Distributed Optimal Linear Fusion Predictors and Filters for Systems With Random Parameter Matrices and Correlated Noises.
IEEE Trans. Signal Process., 2020

Optimal Sequential Estimation for Asynchronous Sampling Discrete - Time Systems.
IEEE Trans. Signal Process., 2020

Optimal linear recursive estimators for stochastic uncertain systems with time-correlated additive noises and packet dropout compensations.
Signal Process., 2020

Distributed optimal linear fusion estimators.
Inf. Fusion, 2020

Fusion identification and estimation of multisensor multichannel AR signals with missing measurements and sensor biases.
Digit. Signal Process., 2020

Optimal Linear Filter for Systems With Random Delay and Packet Dropout Compensations.
IEEE Access, 2020

Distributed Fusion Filter for Nonlinear Multi-Sensor Systems With Correlated Noises.
IEEE Access, 2020

2019
Self-Tuning Distributed Fusion Filter for Multi-Sensor Networked Systems with Unknown Packet Receiving Rates, Noise Variances, and Model Parameters.
Sensors, 2019

Optimal recursive estimation for networked stochastic uncertain systems with fading measurements and time-correlated channel noises.
J. Comput. Appl. Math., 2019

Distributed fusion filter for multi-sensor systems with finite-step correlated noises.
Inf. Fusion, 2019

A general packet dropout compensation framework for optimal prior filter of networked multi-sensor systems.
Inf. Fusion, 2019

An overview of multirate multisensor systems: Modelling and estimation.
Inf. Fusion, 2019

Fusion estimation for multi-sensor networked systems with packet loss compensation.
Inf. Fusion, 2019

Prediction-based approach to finite-time stabilization of networked control systems with time delays and data packet dropouts.
Neurocomputing, 2019

Globally optimal sequential and distributed fusion state estimation for multi-sensor systems with cross-correlated noises.
Autom., 2019

2018
Distributed Asynchronous Fusion Estimator for Stochastic Uncertain Systems With Multiple Sensors of Different Fading Measurement Rates.
IEEE Trans. Signal Process., 2018

Optimal Sequential Fusion Estimation With Stochastic Parameter Perturbations, Fading Measurements, and Correlated Noises.
IEEE Trans. Signal Process., 2018

Distributed Fusion Estimator for Multisensor Multirate Systems With Correlated Noises.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Weighted Measurement Fusion Particle Filter for Nonlinear Systems with Correlated Noises.
Sensors, 2018

Advances in Multi-Sensor Information Fusion: Theory and Applications 2017.
Sensors, 2018

Self-Tuning Distributed Fusion Filter for Multi-Sensor Systems Subject to Unknown Model Parameters and Missing Measurement Rates.
IEEE Access, 2018

2017
A Solution to Estimation Fusion for Multirate Measurements with Delays.
IEEE Trans. Aerosp. Electron. Syst., 2017

Distributed fusion filter for networked stochastic uncertain systems with transmission delays and packet dropouts.
Signal Process., 2017

A Weighted Measurement Fusion Particle Filter for Nonlinear Multisensory Systems Based on Gauss-Hermite Approximation.
Sensors, 2017

State estimators for systems with random parameter matrices, stochastic nonlinearities, fading measurements and correlated noises.
Inf. Sci., 2017

Multi-sensor distributed fusion estimation with applications in networked systems: A review paper.
Inf. Fusion, 2017

Distributed fusion estimation for multi-sensor asynchronous sampling systems with correlated noises.
Int. J. Syst. Sci., 2017

Linear estimators for networked systems with one-step random delay and multiple packet dropouts based on prediction compensation.
IET Signal Process., 2017

Distributed fusion estimation for multi-sensor non-uniform sampling systems with correlated noises and fading measurements.
Proceedings of the 20th International Conference on Information Fusion, 2017

2016
Optimal Linear Estimators for Systems With Finite-Step Correlated Noises and Packet Dropout Compensations.
IEEE Trans. Signal Process., 2016

State Estimation for a Class of Non-Uniform Sampling Systems with Missing Measurements.
Sensors, 2016

Multi-sensor information fusion estimators for stochastic uncertain systems with correlated noises.
Inf. Fusion, 2016

Distributed fusion estimator for multi-sensor asynchronous sampling systems with missing measurements.
IET Signal Process., 2016

2015
Nonlinear weighted measurement fusion Unscented Kalman Filter with asymptotic optimality.
Inf. Sci., 2015

Research of dual-modal decision level fusion for fingerprint and finger vein image.
Int. J. Biom., 2015

Optimal linear estimators for multi-sensor stochastic uncertain systems with packet losses of both sides.
Digit. Signal Process., 2015

H<sub>∞</sub> filtering for networked linear systems with multiple packet dropouts and random delays.
Digit. Signal Process., 2015

2014
H<sub>∞</sub> filtering for multiple channel systems with varying delays, consecutive packet losses and randomly occurred nonlinearities.
Signal Process., 2014

Modeling and estimation for networked systems with multiple random transmission delays and packet losses.
Syst. Control. Lett., 2014

Linear estimation for networked control systems with random transmission delays and packet dropouts.
Inf. Sci., 2014

Multi-sensor distributed fusion filtering for networked systems with different delay and loss rates.
Digit. Signal Process., 2014

2013
Optimal Linear Filters for Discrete-Time Systems With Randomly Delayed and Lost Measurements With/Without Time Stamps.
IEEE Trans. Autom. Control., 2013

Optimal linear estimators for systems with multiple random measurement delays and packet dropouts.
Int. J. Syst. Sci., 2013

2012
Centralized Fusion Estimators for Multi-sensor Systems with Multiplicative Noises and Missing Measurements.
J. Networks, 2012

Measurement Feedback Self-Tuning Weighted Measurement Fusion Kalman Filter for Systems with Correlated Noises.
J. Appl. Math., 2012

Estimators for autoregressive moving average signals with multiple sensors of different missing measurement rates.
IET Signal Process., 2012

Optimal linear estimation for systems with multiplicative noise uncertainties and multiple packet dropouts.
IET Signal Process., 2012

Distributed fusion filter for multi-sensor systems with random sensor delays, multiple packet dropouts and uncertain observations.
Proceedings of the 15th International Conference on Information Fusion, 2012

Distributed fusion filter for asynchronous multi-rate multi-sensor non-uniform sampling systems.
Proceedings of the 15th International Conference on Information Fusion, 2012

2011
Optimal Linear Estimators for Systems With Random Sensor Delays, Multiple Packet Dropouts and Uncertain Observations.
IEEE Trans. Signal Process., 2011

Information fusion estimators for systems with multiple sensors of different packet dropout rates.
Inf. Fusion, 2011

2010
Distributed fusion filter for discrete-time stochastic systems with uncertain observation and correlated noises.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010

Distributed optimal fusion prior filter for systems with multiple packet dropouts.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010

2009
Optimal Estimators for Systems With Finite Consecutive Packet Dropouts.
IEEE Signal Process. Lett., 2009

Linear minimum variance estimators for systems with bounded random measurement delays and packet dropouts.
Signal Process., 2009

Scalar-weighted fusion estimators for systems with multiple sensors and multiple delayed measurements.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Optimal Full-Order and Reduced-Order Estimators for Discrete-Time Systems With Multiple Packet Dropouts.
IEEE Trans. Signal Process., 2008

Optimal Filtering for Systems With Multiple Packet Dropouts.
IEEE Trans. Circuits Syst. II Express Briefs, 2008

Multi-sensor optimal fusion fixed-interval Kalman smoothers.
Inf. Fusion, 2008

Optimal Fusion Reduced-Order Kalman estimators for discrete-Time stochastic singular Systems.
Control. Intell. Syst., 2008

Optimal linear estimation for systems with multiple packet dropouts.
Autom., 2008

2007
Optimal filtering and smoothing for discrete-time stochastic singular systems.
Signal Process., 2007

Distributed optimal component fusion deconvolution filtering.
Signal Process., 2007

Quantized Kalman Filtering.
Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007

2006
Optimal Fusion Distributed filter for discrete multichannel ARMA signals.
Control. Intell. Syst., 2006

Small Polyhedron Reconnection: A New Way to Eliminate Poorly-Shaped Tetrahedra.
Proceedings of the 15th International Meshing Roundtable, 2006

Optimal Fusion Reduced-Order Kalman Filters Weighted by Scalars for Stochastic Singular Systems.
Proceedings of the Ninth International Conference on Control, 2006

2005
Distributed optimal fusion steady-state Kalman filter for systems with coloured measurement noises.
Int. J. Syst. Sci., 2005

Distributed optimal component fusion weighted by scalars for fixed-lag Kalman smoother.
Autom., 2005

2004
Multisensor optimal information fusion input white noise deconvolution estimators.
IEEE Trans. Syst. Man Cybern. Part B, 2004

Multi-sensor optimal information fusion Kalman filter.
Autom., 2004

Multi-sensor information fusion white noise filter weighted by scalars based on Kalman predictor.
Autom., 2004

Scalar weighting optimal fusion predictors for discrete multichannel ARMA signals.
Proceedings of the 8th International Conference on Control, 2004

2003
An Efficient Optimization Procedure for Tetrahedral Meshes by Chaos Search Algorithm.
J. Comput. Sci. Technol., 2003


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