New results on stochastic stability of discrete-time Unscented Kalman Filter

2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA) ◽

10.1109/iciea.2012.6360969 ◽

2012 ◽

Author(s):

Gyorgyi Dymirkovsky

Keyword(s):

Kalman Filter ◽

Discrete Time ◽

Stochastic Stability ◽

Unscented Kalman Filter

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Stochastic stability of the derivative unscented Kalman filter

Chinese Physics B ◽

10.1088/1674-1056/24/7/070202 ◽

2015 ◽

Vol 24 (7) ◽

pp. 070202 ◽

Cited By ~ 14

Author(s):

Gao-Ge Hu ◽

She-Sheng Gao ◽

Yong-Min Zhong ◽

Bing-Bing Gao

Keyword(s):

Kalman Filter ◽

Stochastic Stability ◽

Unscented Kalman Filter

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Discrete-time high-order neural network identifier trained with high-order sliding mode observer and unscented Kalman filter

Neurocomputing ◽

10.1016/j.neucom.2019.12.005 ◽

2019 ◽

Cited By ~ 1

Author(s):

M. Hernandez-Gonzalez ◽

M.V. Basin ◽

E.A. Hernandez-Vargas

Keyword(s):

Neural Network ◽

Kalman Filter ◽

Discrete Time ◽

Unscented Kalman Filter ◽

Sliding Mode ◽

High Order ◽

Sliding Mode Observer ◽

High Order Neural Network

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Stochastic Stability of the Discrete-time Kalman Filter

Sixth International Conference on Intelligent Systems Design and Applications ◽

10.1109/isda.2006.253800 ◽

2006 ◽

Author(s):

Yuan Wang ◽

Gang Wang

Keyword(s):

Kalman Filter ◽

Discrete Time ◽

Stochastic Stability

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Stochastic stability of the continuous-time unscented Kalman filter

2008 47th IEEE Conference on Decision and Control ◽

10.1109/cdc.2008.4738717 ◽

2008 ◽

Cited By ~ 2

Author(s):

Jiahe Xu ◽

Shi Wang ◽

Georgi M. Dimirovski ◽

Yuanwei Jing

Keyword(s):

Kalman Filter ◽

Stochastic Stability ◽

Continuous Time ◽

Unscented Kalman Filter

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Stochastic stability of the discrete-time extended Kalman filter

IEEE Transactions on Automatic Control ◽

10.1109/9.754809 ◽

1999 ◽

Vol 44 (4) ◽

pp. 714-728 ◽

Cited By ~ 476

Author(s):

K. Reif ◽

S. Gunther ◽

E. Yaz ◽

R. Unbehauen

Keyword(s):

Kalman Filter ◽

Extended Kalman Filter ◽

Discrete Time ◽

Stochastic Stability

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An adaptive nonlinear filter of discrete-time system with uncertain covariance using unscented Kalman filter

IEEE International Symposium on Communications and Information Technology, 2005. ISCIT 2005. ◽

10.1109/iscit.2005.1567140 ◽

2006 ◽

Author(s):

Wan-Chun Li ◽

Ping Wei ◽

Xian-Ci Xiao

Keyword(s):

Kalman Filter ◽

Discrete Time ◽

Unscented Kalman Filter ◽

Nonlinear Filter ◽

Discrete Time System ◽

Time System

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Stochastic stability of a modified unscented Kalman filter with stochastic nonlinearities and multiple fading measurements

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2016.10.028 ◽

2017 ◽

Vol 354 (2) ◽

pp. 650-667 ◽

Cited By ~ 19

Author(s):

Li Li ◽

Dongdong Yu ◽

Yuanqing Xia ◽

Hongjiu Yang

Keyword(s):

Kalman Filter ◽

Stochastic Stability ◽

Unscented Kalman Filter

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Stochastic stability of the unscented Kalman filter with intermittent observations

Automatica ◽

10.1016/j.automatica.2012.02.014 ◽

2012 ◽

Vol 48 (5) ◽

pp. 978-981 ◽

Cited By ~ 91

Author(s):

Li Li ◽

Yuanqing Xia

Keyword(s):

Kalman Filter ◽

Stochastic Stability ◽

Unscented Kalman Filter

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Using data-driven discrete-time models and the unscented Kalman filter to estimate unobserved variables of nonlinear systems

Physical Review E ◽

10.1103/physreve.72.026226 ◽

2005 ◽

Vol 72 (2) ◽

Cited By ~ 18

Author(s):

Luis Antonio Aguirre ◽

Bruno Otávio S. Teixeira ◽

Leonardo Antônio B. Tôrres

Keyword(s):

Kalman Filter ◽

Nonlinear Systems ◽

Discrete Time ◽

Unscented Kalman Filter ◽

Data Driven ◽

Unobserved Variables ◽

Using Data ◽

Discrete Time Models

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Unscented Kalman Filter based Carrier Tracking to Mitigate Ionospheric Scintillation Threat in High latitude for Maritime PNT

Proceedings of the 2020 International Technical Meeting of The Institute of Navigation ◽

10.33012/2020.17182 ◽

2020 ◽

Author(s):

R. Tiwari ◽

J. Yin ◽

M. Johnston ◽

Stig Eric Christiansen

Keyword(s):

Kalman Filter ◽

High Latitude ◽

Unscented Kalman Filter ◽

Ionospheric Scintillation

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