Design and real time implementation of nonlinear minimum variance filter

Shamser Ali Naz, M.J. Grimble

Research output: Contribution to conference › Paper

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.
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

Fingerprint

Extended Kalman filters

Keywords

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

Cite this

Naz, S. A., & Grimble, M. J. (2008). Design and real time implementation of nonlinear minimum variance filter. Paper presented at UKACC Control Conference, Manchester, United Kingdom, .
Naz, Shamser Ali ; Grimble, M.J. / Design and real time implementation of nonlinear minimum variance filter. Paper presented at UKACC Control Conference, Manchester, United Kingdom, .4 p.
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title = "Design and real time implementation of nonlinear minimum variance filter",
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.",
keywords = "polynomial, estimator, Kalman filter, Weiner filter, control systems",
author = "Naz, {Shamser Ali} and M.J. Grimble",
year = "2008",
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note = "UKACC Control Conference ; Conference date: 02-09-2008 Through 04-09-2008",

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Naz, SA & Grimble, MJ 2008, 'Design and real time implementation of nonlinear minimum variance filter' Paper presented at UKACC Control Conference, Manchester, United Kingdom, 2/09/08 - 4/09/08, .

Design and real time implementation of nonlinear minimum variance filter. / Naz, Shamser Ali; Grimble, M.J.

2008. Paper presented at UKACC Control Conference, Manchester, United Kingdom, .

Research output: Contribution to conference › Paper

TY - CONF

T1 - Design and real time implementation of nonlinear minimum variance filter

AU - Naz, Shamser Ali

AU - Grimble, M.J.

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

KW - polynomial

KW - estimator

KW - Kalman filter

KW - Weiner filter

KW - control systems

UR - https://ukacc.group.shef.ac.uk/proceedings/control2008/papers/p27.pdf

M3 - Paper

ER -

Naz SA, Grimble MJ. Design and real time implementation of nonlinear minimum variance filter. 2008. Paper presented at UKACC Control Conference, Manchester, United Kingdom, .

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