Abstract
The paper represents the identification of a raw blending system in a cement factory for advanced process control. Three different linear multivariable stochastic ARX models in which the inputs are the feed rates of raw material components (low grade and iron ore) and the outputs are iron oxide or/and lime module of the raw meal are proposed. ARX models are parameterized giving minimum number of parameters by the approach of Guidorzi. The identification results show that these MISO and MIMO models are good models.
| Original language | English |
|---|---|
| Pages | 475-481 |
| Number of pages | 7 |
| Publication status | Published - 2001 |
| Event | 8th International Conference on Emerging Technologies and Factory Automation (ETFA 2001) - Antibes-Juan les Pins, France Duration: 15 Oct 2001 → 18 Oct 2001 |
Conference
| Conference | 8th International Conference on Emerging Technologies and Factory Automation (ETFA 2001) |
|---|---|
| Country/Territory | France |
| City | Antibes-Juan les Pins |
| Period | 15/10/01 → 18/10/01 |
