State and information estimation for linear and nonlinear systems

Arthur G.O. Mutambara, M. S. Al-Haik

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


A new information space based estimation algorithm for nonlinear systems is presented. First, an outline of the algebraic equivalent of the Kalman filter, the Information -filter, is discussed. Employing the principles used in the derivation of the extended Kalman filter (EKF), the linear information space is then extended to nonlinear information space. In this way, the extended Information filter (EIF) is derived, which is the key contribution of the paper.

Original languageEnglish
Pages (from-to)318-319
Number of pages2
JournalJournal of Dynamic Systems, Measurement and Control, Transactions of the ASME
Issue number2
Publication statusPublished - Jun 1999
Externally publishedYes

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Instrumentation
  • Mechanical Engineering
  • Computer Science Applications


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