Abstract
A Generalized Minimum Variance control law is derived for the control of nonlinear, possibly time-varying multivariable systems. The solution for the control law is original and was obtained in the time-domain using a simple operator representation of the process. The quadratic cost index involves both error and control signal costing terms. The controller obtained is simple to implement and includes an internal model of the process. In one form might be considered a nonlinear version of the Smith Predictor. However, unlike the Smith Predictor a stabilizing control law can be obtained even for some open-loop unstable processes
| Original language | English |
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| Number of pages | 3 |
| 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 |
Keywords
- gmv control
- nonlinear
- multivariable systems
- optimal control
- optimisation
- minimum variance