Abstract
The solution of linear quadratic predictive optimal control problems for systems represented in state-equation form, but using a polynomial systems approach, is considered. A multistep cost-function is used that includes future set-point information. A novel method is introduced for computing the vector of future controls and for solving a simpler optimization problem for the current control.
| Original language | English |
|---|---|
| Pages (from-to) | 439-447 |
| Number of pages | 8 |
| Journal | Journal of Dynamic Systems, Measurement, and Control |
| Volume | 125 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2003 |
Keywords
- predictive control
- linear quadratic control
- process control
- discrete time systems
- multivariable systems
- linear systems
- optimisation