Abstract
'Model on Demand' (MoD) simulation of the temperature dynamics in a simulated Rapid Thermal Processing (RTP) reactor is compared against various types of global models (ARX, semiphysical, combined semiphysical with neural net). The identification data is generated from a m-level pseudo-random sequence input whose parameters are specified systematically using a priori information readily available to the engineer. The MoD estimator outperforms the ARX model and two semi-physical models, while matching the performance of a combined semi-physical with neural net model. This makes MoD estimation an appealing alternative to global methods because of its reduced engineering effort and simplified a priori knowledge regarding model structure.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the IEEE Conference on Decision and Control |
| Publisher | IEEE |
| Pages | 3950-3955 |
| Number of pages | 6 |
| Volume | 4 |
| State | Published - 1999 |
| Event | The 38th IEEE Conference on Decision and Control (CDC) - Phoenix, AZ, USA Duration: Dec 7 1999 → Dec 10 1999 |
Other
| Other | The 38th IEEE Conference on Decision and Control (CDC) |
|---|---|
| City | Phoenix, AZ, USA |
| Period | 12/7/99 → 12/10/99 |
ASJC Scopus subject areas
- Chemical Health and Safety
- Control and Systems Engineering
- Safety, Risk, Reliability and Quality