Abstract
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.
| Language | English |
|---|---|
| Number of pages | 5 |
| Publication status | Published - Sep 2004 |
| Event | Control 2004 - Bath, United Kingdom Duration: 1 Sep 2004 → 1 Sep 2004 |
Conference
| Conference | Control 2004 |
|---|---|
| Country | United Kingdom |
| City | Bath |
| Period | 1/09/04 → 1/09/04 |
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Keywords
- nonlinear control
- controller
- optimal control
- controller performance design
- assessment
- scalar case
- nonlinear
- minimum variance
- benchmark
Cite this
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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 conference › Paper
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 -