( en | de | ru )

 

Disambiguation of "Sun, Shuli"

Author of the publication

copydeleteadd this publication to your clipboard
Optimal linear recursive estimators for stochastic uncertain systems with time-correlated additive noises and packet dropout compensations.

, and . Signal Process., (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Shuli Xia

Natalia Shulik

Yü-Sün Sun

Deming Sun

Haiyan Sun

 

Other publications of authors with the same name

Optimal recursive estimation for networked stochastic uncertain systems with fading measurements and time-correlated channel noises., and . J. Comput. Appl. Math., (2019)Fusion identification and estimation of multisensor multichannel AR signals with missing measurements and sensor biases., and . Digit. Signal Process., (2020)Distributed Fusion Estimator for Multisensor Multirate Systems With Correlated Noises., and . IEEE Trans. Syst. Man Cybern. Syst., 48 (7): 1131-1139 (2018)Self-Tuning Distributed Fusion Filter for Multi-Sensor Networked Systems with Unknown Packet Receiving Rates, Noise Variances, and Model Parameters., and . Sensors, 19 (20): 4436 (2019)Optimal Estimators for Systems With Finite Consecutive Packet Dropouts.. IEEE Signal Process. Lett., 16 (7): 557-560 (2009)CT Image Reconstruction via Nonlocal Low-Rank Regularization and Data-Driven Tight Frame., , , , , and . Symmetry, 13 (10): 1873 (2021)Optimal linear estimators for multi-sensor stochastic uncertain systems with packet losses of both sides., and . Digit. Signal Process., (2015)Information fusion estimators for systems with multiple sensors of different packet dropout rates., and . Inf. Fusion, 12 (3): 213-222 (2011)Globally optimal distributed and sequential state fusion filters for multi-sensor systems with correlated noises., and . Inf. Fusion, (November 2023)Prediction-based approach to finite-time stabilization of networked control systems with time delays and data packet dropouts., , , and . Neurocomputing, (2019)