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.
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 - Sep 2004 |
| Event | UKACC 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
| Conference | UKACC Control Conference 2004 |
|---|---|
| Abbreviated title | Control 2004 |
| Country | United Kingdom |
| City | Bath |
| Period | 6/09/04 → 9/09/04 |
| Internet address |
Keywords
- nonlinear control
- controller
- optimal control
- controller performance design
- assessment
- scalar case
- nonlinear
- minimum variance
- benchmark
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Cite this
Majecki, P. M., & Grimble, M. J. (2004). Controller performance design and assessment using nonlinear generalized minimum variance benchmark: scalar case. Paper presented at UKACC Control Conference 2004, Bath, United Kingdom.