Design and real time implementation of nonlinear minimum variance filter

Naz, Shamser Ali and Grimble, M.J. (2008) Design and real time implementation of nonlinear minimum variance filter. In: UKACC Control Conference, 2008-09-02 - 2008-09-04. (https://ukacc.group.shef.ac.uk/proceedings/control...)

Preview

Text. Filename: strathprints007346.pdf Accepted Author Manuscript Download (787kB)| Preview

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.

• Share and Export
  

  RDF+N3HTML CitationDublin CoreData Cite XMLRDF+N-TriplesMODSMultiline CSVSimple MetadataAtomRIOXX2 XMLRefWorksReferBibTeXASCII CitationMETSJSONOpenURL ContextObject in SpanRDF+XMLRIS (EndNote Online, Zotero, Ref manager, etc)EndNoteMPEG-21 DIDLOpenURL ContextObjectEP3 XML
• Item metadata

  Item type:	Conference or Workshop Item(Paper)
  ID code:	7346
  Dates:	Date Event 2008 Published
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering
  Depositing user:	Strathprints Administrator
  Date deposited:	04 Feb 2009 14:47
  Last modified:	16 Dec 2024 03:00
  URI:	https://strathprints.strath.ac.uk/id/eprint/7346