Robust approximated unbiased minimum variance filter for nonlinear systems with parameter uncertainties

2017 IEEE 56th Annual Conference on Decision and Control (CDC) ◽

10.1109/cdc.2017.8263970 ◽

2017 ◽

Cited By ~ 1

Author(s):

Shinji Ishihara ◽

Masaki Yamakita

Keyword(s):

Nonlinear Systems ◽

Minimum Variance ◽

Parameter Uncertainties ◽

Variance Filter

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An approximate minimum variance filter for nonlinear systems with randomly delayed observations

2017 25th European Signal Processing Conference (EUSIPCO) ◽

10.23919/eusipco.2017.8081477 ◽

2017 ◽

Author(s):

Paresh Date ◽

Seham Allahyani

Keyword(s):

Nonlinear Systems ◽

Minimum Variance ◽

Variance Filter

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Simultaneous States and Parameters Estimation for Nonlinear Systems by Robust Approximated Unbiased Minimum Variance Filter

Transactions of the Society of Instrument and Control Engineers ◽

10.9746/sicetr.54.389 ◽

2018 ◽

Vol 54 (4) ◽

pp. 389-401

Author(s):

Shinji ISHIHARA ◽

Masaki YAMAKITA

Keyword(s):

Nonlinear Systems ◽

Minimum Variance ◽

Parameters Estimation ◽

Variance Filter

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Joint noise cancellation and dereverberation using multi-channel linearly constrained minimum variance filter

10.21437/interspeech.2013-275 ◽

2013 ◽

Author(s):

Karan Nathwani ◽

Rajesh M. Hegde

Keyword(s):

Noise Cancellation ◽

Minimum Variance ◽

Variance Filter ◽

Linearly Constrained

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Simultaneous States and Parameters Estimation for Nonlinear Systems by Robust Approximated Minimum Variance Unbiased Filter

2018 IEEE Conference on Control Technology and Applications (CCTA) ◽

10.1109/ccta.2018.8511367 ◽

2018 ◽

Author(s):

Shinji Ishihara ◽

Masaki Yamakita

Keyword(s):

Nonlinear Systems ◽

Minimum Variance ◽

Parameters Estimation

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Robust Nonlinear Kalman Filters for Nonlinear Systems with Parameter Uncertainties

Transactions of the Society of Instrument and Control Engineers ◽

10.9746/sicetr.53.527 ◽

2017 ◽

Vol 53 (10) ◽

pp. 527-538

Author(s):

Shinji ISHIHARA ◽

Masaki YAMAKITA

Keyword(s):

Nonlinear Systems ◽

Kalman Filters ◽

Parameter Uncertainties

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A Novel Frequency Domain Linearly Constrained Minimum Variance Filter for Speech Enhancement

International Journal of Engineering ◽

10.5829/ije.2020.33.01a.08 ◽

2020 ◽

Vol 33 (1) ◽

Keyword(s):

Frequency Domain ◽

Speech Enhancement ◽

Minimum Variance ◽

Variance Filter ◽

Linearly Constrained

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Recent Advances In The Identification Of Nonlinear Systems: Minimum-variance Approximation By Hammerstein Models

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991 ◽

10.1109/iembs.1991.684990 ◽

2005 ◽

Author(s):

M.J. Kownberg

Keyword(s):

Nonlinear Systems ◽

Minimum Variance ◽

Recent Advances ◽

Hammerstein Models

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Unscented statistical linearization and robustified Kalman filter for nonlinear systems with parameter uncertainties

2014 American Control Conference ◽

10.1109/acc.2014.6858583 ◽

2014 ◽

Cited By ~ 7

Author(s):

Masaya Murata ◽

Hidehisa Nagano ◽

Kunio Kashino

Keyword(s):

Kalman Filter ◽

Nonlinear Systems ◽

Statistical Linearization ◽

Parameter Uncertainties

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Minimum variance filter with packet dropouts in wireless sensor networks

2009 7th International Conference on Information, Communications and Signal Processing (ICICS) ◽

10.1109/icics.2009.5397579 ◽

2009 ◽

Author(s):

Yonggui Liu ◽

Bugo Xu

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Minimum Variance ◽

Wireless Sensor ◽

Packet Dropouts ◽

Variance Filter

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Nonlinear unbiased minimum-variance filter for Mars entry autonomous navigation under large uncertainties and unknown measurement bias

ISA Transactions ◽

10.1016/j.isatra.2018.03.007 ◽

2018 ◽

Vol 76 ◽

pp. 97-109 ◽

Cited By ~ 6

Author(s):

Mengli Xiao ◽

Yongbo Zhang ◽

Huimin Fu ◽

Zhihua Wang

Keyword(s):

Autonomous Navigation ◽

Minimum Variance ◽

Measurement Bias ◽

Variance Filter

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