Design and real time implementation of nonlinear minimum variance filter

Shamser Ali Naz, M.J. Grimble

Research output: Contribution to conference › Paper › peer-review

16 Downloads (Pure)

Abstract

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 Sep 2008 → 4 Sep 2008

Conference

ConferenceUKACC Control Conference
CityManchester, United Kingdom
Period2/09/08 → 4/09/08

Keywords

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

Access to Document

    Fingerprint Dive into the research topics of 'Design and real time implementation of nonlinear minimum variance filter'. Together they form a unique fingerprint.

    Cite this