Name
Abstract | ||
|---|---|---|
In this paper, a non-linear Model Predictive Control (MPC) algorithm is proposed which extends the capacities of Linear Model Predictive Controllers to control non-linear systems. A Neural Network (NN) is used to model the deviation of the non-linear system from its linear MPC model. Proposed algorithm is tested in control of an industrial multi-component high purity distillation column by simulation. Results of NN-MPC show high improvement in control of system over linear MPC algorithm. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/ICNN.1997.616105 | 1997 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS 1-4 |
Keywords | Field | DocType |
prediction algorithms,linear model,predictive models,nonlinear system,predictive control,neural networks,distillation,nonlinear systems,process control,testing,neural network | Control theory,Nonlinear system,Linear model,Control theory,Computer science,Model predictive control,Fractionating column,Distillation,Process control,Artificial neural network | Conference |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| ozgur karahan | 1 | 0 | 0.34 |
| canan ozgen | 2 | 0 | 0.34 |
| u hahci | 3 | 0 | 0.34 |
| Kemal Leblebicioglu | 4 | 22 | 9.82 |