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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, Manchester, United Kingdom.

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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.

Item type: Conference or Workshop Item (Paper)
ID code: 7346
Keywords: polynomial, estimator, Kalman filter, Weiner filter, control systems, Electrical engineering. Electronics Nuclear engineering
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: 23 Jul 2015 14:02
Related URLs:
URI: http://strathprints.strath.ac.uk/id/eprint/7346

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