Development of Sigmoidnet Based NARX Model for a Distillation Column
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K. Ramesh
Distillation exhibits highly nonlinear dynamic behavior and the development of suitable nonlinear model to distillation pose a challenging problem to current process industry. In the absence of a reasonably accurate nonlinear model, distillation column is difficult to control using advanced model based control strategies. In this paper, a novel sigmoidnet based nonlinear auto-regressive with exogenous inputs (NARX) model is developed for high purity distillation column and verified using the experimentally validated first principle model. The model validation and regressor analysis proved that the developed NARX model was capable of capturing the nonlinear dynamics of a distillation column.
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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Artikel in diesem Heft
- Article
- Editorial: Special Issue Contributed by CITICOMS 2007 - International Conference on Modeling and Simulation, Selected Papers
- Modeling of Phenol Degradation in Spouted Bed Contactor Using Artificial Neural Network (ANN)
- Nonlinear System Identification Using Laguerre Wavelet Models
- Development of Sigmoidnet Based NARX Model for a Distillation Column
- Kinetic Studies on Sorption of Textile Dyes Using Lamina and Petiole Parts of Eichhornia crassipes
- Equilibrium and Kinetic Modeling on Biosorption of Reactive Red 2 Using Tamarindus indica Fruit Hulls
- Removal of Reactive Orange 4 from Aqueous Solution by Waste Eichhornia crassipes Biomass
- Modeling and Simulation of Viscoelastic Behavior of Three-Phase Polymer Blends with Multiple Droplet Morphology
- Dynamic Simulation of Mixing-Limited Pattern Formation in Homogeneous Autocatalytic Reactions
- Modeling Catalytic and Homogenous Combustion of Hydrocarbons in Monolithic Converters