Design and real time implementation of nonlinear minimum variance filter

Shamser Ali Naz, M.J. Grimble

Research output: Contribution to conferencePaperpeer-review

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In this paper, the design and real time implementation of a Nonlinear Minimum Variance (NMV) estimator is presented using a laboratory based ball and beam system. The real time implementation employs a LabVIEW based tool. The novelty of this work lies in the design steps and the practical implementation of the NMV estimation technique which up till now only investigated using simulation studies. The paper also discusses the advantages and limitations of the NMV estimator based on the real time application results. These are compared with results obtained using an extended Kalman filter.
Original languageEnglish
Number of pages4
Publication statusPublished - 2008
EventUKACC Control Conference - Manchester, United Kingdom
Duration: 2 Sept 20084 Sept 2008


ConferenceUKACC Control Conference
CityManchester, United Kingdom


  • polynomial
  • estimator
  • Kalman filter
  • Weiner filter
  • control systems


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