Abstract
The paper presents a new method for modelling of complex processes containing unkown qualitative varlables. The method is based on grouping the input-output-palrs of the model into a finite nunlber of clusters each representing different values of unknown qualitative variables. An online clustering algorithm is derived from assumption that each cluster consists of realizations of some normally distributed random vector. An expert control system using the cluster model together WIth sImple static linear models for decision of necessary control actions is outlined. The method has been applied to real data from mineral processes.
| Original language | English |
|---|---|
| Pages (from-to) | 645-648 |
| Journal | IFAC PROCEEDINGS VOLUMES |
| Volume | 26 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1993 |
| MoE publication type | A4 Conference publication |
| Event | IFAC World Congress - Sydney, Australia Duration: 18 Jul 1993 → 23 Jul 1993 Conference number: 12 |
Keywords
- cluster analysis
- expert control
- mineral processes
- modelling