Abstract
The design and implementation of Generalized Minimum Variance control laws for nonlinear multivariable systems that can include severe nonlinearities is considered. The quadratic cost index minimised involves dynamically weighted error and nonlinear control signal costing terms. The aim here is to show the controller obtained is simple to design and implement. The features of the control law are explored. The controller obtained includes an internal model of the process and in one form is a nonlinear version of the Smith Predictor.
| Original language | English |
|---|---|
| Pages (from-to) | 281-292 |
| Number of pages | 12 |
| Journal | International Journal of Control, Automation and Systems |
| Volume | 4 |
| Issue number | 3 |
| Publication status | Published - 2006 |
Keywords
- cost-function
- minimum variance
- nonlinear
- optimal control
- control systems