Abstract
Closed loop identification techniques based on autoregressive models (ARMA), state space models and neural networks for multivariable processes with MPC are investigated. The techniques are tested through computer simulations and ultimately on field data from a gas plant in Saudi Arabia, where MPC application is most challenging and perhaps most beneficial.
| Original language | English |
|---|---|
| Title of host publication | SICE 2003 Annual Conference, SICE 2003 |
| Publisher | Society of Instrument and Control Engineers (SICE) |
| Pages | 144-149 |
| Number of pages | 6 |
| ISBN (Electronic) | 0780383524 |
| State | Published - 2003 |
Publication series
| Name | Proceedings of the SICE Annual Conference |
|---|---|
| Volume | 1 |
Bibliographical note
Publisher Copyright:© 2003 SICE.
Keywords
- Closed loop
- Identification
- MPC
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering
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