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

P.M. Majecki, M.J. Grimble

Research output: Contribution to conference › Paper

349 Downloads (Pure)

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.
Original languageEnglish
Number of pages5
Publication statusPublished - Sep 2004
EventUKACC Control Conference 2004 - University of Bath, Bath, United Kingdom
Duration: 6 Sep 2004 → 9 Sep 2004
http://ukacc.group.shef.ac.uk/proceedings/control2004/Start.htm

Conference

ConferenceUKACC Control Conference 2004
Abbreviated titleControl 2004
CountryUnited Kingdom
CityBath
Period6/09/04 → 9/09/04
Internet address

Keywords

  • nonlinear control
  • controller
  • optimal control
  • controller performance design
  • assessment
  • scalar case
  • nonlinear
  • minimum variance
  • benchmark

Access to Document

  • 232Final published version, 1.23 MB

    Fingerprint Dive into the research topics of 'Controller performance design and assessment using nonlinear generalized minimum variance benchmark: scalar case'. Together they form a unique fingerprint.

    Cite this