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

P.M. Majecki; M.J. Grimble

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

P.M. Majecki, M.J. Grimble

Electronic And Electrical Engineering

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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.

Original language	English
Number of pages	5
Publication status	Published - Sept 2004
Event	UKACC Control Conference 2004 - University of Bath, Bath, United Kingdom Duration: 6 Sept 2004 → 9 Sept 2004 http://ukacc.group.shef.ac.uk/proceedings/control2004/Start.htm

Conference

Conference	UKACC Control Conference 2004
Abbreviated title	Control 2004
Country/Territory	United Kingdom
City	Bath
Period	6/09/04 → 9/09/04
Internet address	http://ukacc.group.shef.ac.uk/proceedings/control2004/Start.htm

Keywords

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

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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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AU - Grimble, M.J.

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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 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.

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 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.

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

Y2 - 6 September 2004 through 9 September 2004

ER -

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

Abstract

Conference

Keywords

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