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

Shinji ISHIHARA; Masaki YAMAKITA

doi:10.9746/sicetr.54.389

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

Download Full-text

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

Download Full-text

Approximated unbiased minimum-variance simultaneous states and parameters estimation for nonlinear systems

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2017.08.318 ◽

2017 ◽

Vol 50 (1) ◽

pp. 1607-1612

Author(s):

Shinji Ishihara ◽

Masaki Yamakita

Keyword(s):

Nonlinear Systems ◽

Minimum Variance ◽

Parameters Estimation

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

Unscented Kalman Filter-Based Unbiased Minimum-Variance Estimation for Nonlinear Systems With Unknown Inputs

IEEE Signal Processing Letters ◽

10.1109/lsp.2019.2922620 ◽

2019 ◽

Vol 26 (8) ◽

pp. 1162-1166 ◽

Cited By ~ 5

Author(s):

Zongsheng Zheng ◽

Junbo Zhao ◽

Lamine Mili ◽

Zhigang Liu ◽

Shaobu Wang

Keyword(s):

Kalman Filter ◽

Nonlinear Systems ◽

Variance Estimation ◽

Unscented Kalman Filter ◽

Minimum Variance ◽

Unknown Inputs ◽

Minimum Variance Estimation

Download Full-text