Robust fusion steady‐state estimators for networked stochastic uncertain systems with packet dropouts and missing measurements

Optimal Control Applications and Methods ◽

10.1002/oca.2695 ◽

2020 ◽

Author(s):

Wenqiang Liu ◽

Guili Tao

Keyword(s):

Steady State ◽

Uncertain Systems ◽

Missing Measurements ◽

Packet Dropouts ◽

State Estimators

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Weighted fusion robust steady‐state estimators for multisensor networked systems with one‐step random delay and inconsecutive packet dropouts

International Journal of Adaptive Control and Signal Processing ◽

10.1002/acs.3076 ◽

2019 ◽

Vol 34 (2) ◽

pp. 151-182

Author(s):

Wen‐Qiang Liu ◽

Zi‐Li Deng

Keyword(s):

Steady State ◽

Networked Systems ◽

Random Delay ◽

Packet Dropouts ◽

Weighted Fusion ◽

State Estimators ◽

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Inverse Covariance Intersection Fusion Steady-state Kalman Filter for Uncertain Systems with Missing Measurements and Linearly Correlated White Noises

10.23919/ccc52363.2021.9550228 ◽

2021 ◽

Author(s):

Xuemei Wang ◽

Guili Tao ◽

Xuelan Zou ◽

Liang Hong

Keyword(s):

Kalman Filter ◽

Steady State ◽

Uncertain Systems ◽

Missing Measurements ◽

Covariance Intersection ◽

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Robust Guaranteed Cost Steady-State Kalman Predictors for Systems with Uncertain Noise Variances and Missing Measurements

2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) ◽

10.1109/itaic.2019.8785863 ◽

2019 ◽

Author(s):

Chunshan Yang ◽

Jianbo Ji ◽

Wenjuan Qi

Keyword(s):

Steady State ◽

Missing Measurements ◽

Guaranteed Cost

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Robust fusion steady‐state filtering for multisensor networked systems with one‐step random delay, missing measurements, and uncertain‐variance multiplicative and additive white noises

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.4648 ◽

2019 ◽

Vol 29 (14) ◽

pp. 4716-4754 ◽

Author(s):

Wen‐Qiang Liu ◽

Gui‐Li Tao ◽

Ya‐Jing Fan ◽

Gui‐Qiang Zhang

Keyword(s):

Steady State ◽

Networked Systems ◽

Random Delay ◽

Missing Measurements ◽

One Step ◽

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Robust fusion Kalman estimators for networked mixed uncertain systems with random one-step measurement delays, missing measurements, multiplicative noises and uncertain noise variances

Information Sciences ◽

10.1016/j.ins.2020.04.044 ◽

2020 ◽

Vol 534 ◽

pp. 27-52

Author(s):

Chenjian Ran ◽

Zili Deng

Keyword(s):

Uncertain Systems ◽

Missing Measurements ◽

Multiplicative Noises ◽

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Vertex results for the steady state analysis of uncertain systems

10.1109/cdc.1990.203637 ◽

1990 ◽

Author(s):

A.C. Bartlett

Keyword(s):

Steady State ◽

Uncertain Systems ◽

Steady State Analysis ◽

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Variance-constrained robust estimation for uncertain systems with multiple packet dropouts

Optimal Control Applications and Methods ◽

10.1002/oca.1027 ◽

2011 ◽

Vol 34 (1) ◽

pp. 53-68 ◽

Author(s):

Baofeng Wang ◽

Ge Guo ◽

Wei Yue

Keyword(s):

Robust Estimation ◽

Uncertain Systems ◽

Packet Dropouts

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Robust state estimation for uncertain systems with missing measurements and random sensor delay

2016 35th Chinese Control Conference (CCC) ◽

10.1109/chicc.2016.7554498 ◽

2016 ◽

Author(s):

Shaoying Wang ◽

Huajing Fang ◽

Xuegang Tian

Keyword(s):

State Estimation ◽

Uncertain Systems ◽

Missing Measurements

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On the theoretical comparison of low-bias steady-state estimators

ACM Transactions on Modeling and Computer Simulation ◽

10.1145/1189756.1189760 ◽

2007 ◽

Vol 17 (1) ◽

pp. 4 ◽

Author(s):

Hernan P. Awad ◽

Peter W. Glynn

Keyword(s):

Steady State ◽

Theoretical Comparison ◽

State Estimators

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Robust centralized fusion steady-state Kalman filter for multisensor uncertain systems

2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF) ◽

10.1109/icedif.2015.7280170 ◽

2015 ◽

Author(s):

Xuemei Wang ◽

Zili Deng

Keyword(s):

Kalman Filter ◽

Steady State ◽

Uncertain Systems

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