Development of genetic programming based softsensor model for styrene polymerization process and its application in model based control

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Ghugare:2016:ICC,
  author =       "Suhas B. Ghugare and Sanjeev S. Tambe",
  booktitle =    "2016 Indian Control Conference (ICC)",
  title =        "Development of genetic programming based softsensor
                 model for styrene polymerization process and its
                 application in model based control",
  year =         "2016",
  pages =        "238--244",
  abstract =     "In recent years, soft sensors have been established as
                 a valuable alternative to the traditional hardware
                 sensors for the acquisition of critical information
                 regarding difficult-to-measure process variables and/or
                 parameters in chemical process monitoring and control.
                 Soft-sensors can also be modified as a novel process
                 identification tool for process monitoring and model
                 based control. Often, in polymer industries the main
                 polymerization reaction is highly nonlinear and complex
                 to model accurately by the conventional first
                 principle's approach. In such cases, genetic
                 programming (GP) - a novel artificial
                 intelligence-based exclusively data-driven modelling
                 technique - can be employed for process identification.
                 In this work GP-based soft sensors have been developed
                 for a continuous styrene polymerization reactor. The
                 resulting GP-based models (soft sensor) showed high
                 prediction and generalisation performances. The best
                 performing model was successfully used in designing a
                 model predictive control (MPC) scheme for the
                 polymerization reactor.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/INDIANCC.2016.7441134",
  month =        jan,
  notes =        "Also known as \cite{7441134}",
}

Genetic Programming entries for Suhas B Ghugare Sanjeev S Tambe

Citations