Multidimensional Maximum Likelihood Failure Detection and Estimation

Bernard Friedland

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


An algorithm for maximum likelihood failure detection and estimation is provided for multidimensional processes as an extension of the theory given in [1]. It is shown that failure identification is enhanced by selecting the observation matrix H to satisfy an orthogonality condition.

Original languageEnglish (US)
Pages (from-to)567-570
Number of pages4
JournalIEEE Transactions on Automatic Control
Issue number2
StatePublished - Apr 1981
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


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