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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: Control 2004, 2004-09-01 - 2004-09-01, 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.

    Item type: Conference or Workshop Item (Paper)
    ID code: 38242
    Keywords: nonlinear control, controller, optimal control, controller performance design, assessment, scalar case, nonlinear, minimum variance, benchmark, Electrical engineering. Electronics Nuclear engineering
    Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
    Department: Faculty of Engineering > Electronic and Electrical Engineering
    Related URLs:
      Depositing user: Pure Administrator
      Date Deposited: 06 Mar 2012 16:38
      Last modified: 29 Sep 2013 14:29
      URI: http://strathprints.strath.ac.uk/id/eprint/38242

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