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A fresh look at the kalman filter

  • Brigham Young University
  • University of Michigan, Ann Arbor

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)801-823
Number of pages23
JournalSIAM Review
Volume54
Issue number4
DOIs
StatePublished - 2012
Externally publishedYes

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • Computational Mathematics
  • Applied Mathematics

Keywords

  • Control theory
  • Kalman filter
  • Newton's method
  • State estimation
  • Systems theory

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