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

P.M. Majecki, M.J. Grimble

Research output: Contribution to conferencePaper

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.
LanguageEnglish
Number of pages5
Publication statusPublished - Sep 2004
EventControl 2004 - Bath, United Kingdom
Duration: 1 Sep 20041 Sep 2004

Conference

ConferenceControl 2004
CountryUnited Kingdom
CityBath
Period1/09/041/09/04

Fingerprint

Controllers
Time varying systems
Time delay

Keywords

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

Cite this

@conference{a8327634f4bc400c9540220dc318ee5b,
title = "Controller performance design and assessment using nonlinear generalized minimum variance benchmark: scalar case",
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 performanceassessment 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 reactorcontrol example.",
keywords = "nonlinear control, controller, optimal control, controller performance design, assessment, scalar case, nonlinear, minimum variance, benchmark",
author = "P.M. Majecki and M.J. Grimble",
year = "2004",
month = "9",
language = "English",
note = "Control 2004 ; Conference date: 01-09-2004 Through 01-09-2004",

}

Majecki, PM & Grimble, MJ 2004, 'Controller performance design and assessment using nonlinear generalized minimum variance benchmark: scalar case' Paper presented at Control 2004, Bath, United Kingdom, 1/09/04 - 1/09/04, .

Controller performance design and assessment using nonlinear generalized minimum variance benchmark : scalar case. / Majecki, P.M.; Grimble, M.J.

2004. Paper presented at Control 2004, Bath, United Kingdom.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Controller performance design and assessment using nonlinear generalized minimum variance benchmark

T2 - scalar case

AU - Majecki, P.M.

AU - Grimble, M.J.

PY - 2004/9

Y1 - 2004/9

N2 - 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 performanceassessment 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 reactorcontrol example.

AB - 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 performanceassessment 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 reactorcontrol example.

KW - nonlinear control

KW - controller

KW - optimal control

KW - controller performance design

KW - assessment

KW - scalar case

KW - nonlinear

KW - minimum variance

KW - benchmark

M3 - Paper

ER -