Controller performance design and assessment using nonlinear generalized minimum variance benchmark : scalar case

Majecki, P.M. and Grimble, M.J. (2004) Controller performance design and assessment using nonlinear generalized minimum variance benchmark : scalar case. In: UKACC Control Conference 2004, 2004-09-06 - 2004-09-09, University of Bath.

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Abstract

A nonlinear version of the Generalized Minimum Variance (GMV) multivariable control law has been recently derived for the control of nonlinear, possibly time-varying systems. This paper presents the results of the controller performance assessment against this Nonlinear GMV controller in the scalar case. The minimum variance of the generalized output is estimated from routine operating data given only the plant time delay and the technique is applied to a nonlinear reactor control example.

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• Item metadata

  Item type:	Conference or Workshop Item(Paper)
  ID code:	38242
  Dates:	Date Event September 2004 Published
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering
  Depositing user:	Pure Administrator
  Date deposited:	06 Mar 2012 16:38
  Last modified:	11 Nov 2024 16:21
  URI:	https://strathprints.strath.ac.uk/id/eprint/38242