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Nonlinear Bayesian Estimation:From Kalman Filtering to a Broader Horizon

Huazhen Fang Ning Tian Yebin Wang MengChu Zhou Mulugeta A.Haile

自动化学报(英文版)2018,Vol.5Issue(2):401-417,17.
自动化学报(英文版)2018,Vol.5Issue(2):401-417,17.DOI:10.1109/JAS.2017.7510808

Nonlinear Bayesian Estimation:From Kalman Filtering to a Broader Horizon

Nonlinear Bayesian Estimation:From Kalman Filtering to a Broader Horizon

Huazhen Fang 1Ning Tian 2Yebin Wang 3MengChu Zhou 4Mulugeta A.Haile5

作者信息

  • 1. Department of Mechanical Engineering,University of Kansas,Lawrence,KS,USA
  • 2. University of Kansas,Lawrence,KS,USA
  • 3. R&D Dept.in industries,Beijing,China
  • 4. Chinese Association for Science and Technology-USA
  • 折叠

摘要

关键词

Kalman filtering (KF)/nonlinear Bayesian esti-mation/state estimation/stochastic estimation

Key words

Kalman filtering (KF)/nonlinear Bayesian esti-mation/state estimation/stochastic estimation

引用本文复制引用

Huazhen Fang,Ning Tian,Yebin Wang,MengChu Zhou,Mulugeta A.Haile..Nonlinear Bayesian Estimation:From Kalman Filtering to a Broader Horizon[J].自动化学报(英文版),2018,5(2):401-417,17.

自动化学报(英文版)

OACSCDEI

2329-9266

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