• DocumentCode
    2316210
  • Title

    Improvements in process control through model-based techniques: a control system vendor´s perspective

  • Author

    Bonavita, Nunzio ; Tomasi, Raffaele

  • Author_Institution
    Elsag Bailey Hartmann & Braun SpA, Genova, Italy
  • Volume
    1
  • fYear
    1998
  • fDate
    1-4 Sep 1998
  • Firstpage
    298
  • Abstract
    The paper aims at showing how the introduction of model-based control strategies impacts on both the skills (and training) required to plant operators, and in the way control project development has to be managed. As more and more emphasis has to be given to the methodologies used, successful applications (with the related important economic benefits) may result only by the creation of an actual partnership between the process owner and the control system supplier. Aware of this necessity, Elsag Bailey has coupled the introduction of new control technologies with the creation of a sound experience-based methodology, and able to provide the market with the most performing tools in the most suited environment
  • Keywords
    control systems; distributed control; multivariable control systems; neural nets; predictive control; process control; real-time systems; training; Elsag Bailey; control system vendor; distributed control systems; economic benefits; model-based control; multivariable predictive control; neural nets; process control; project development; real time systems; training; Application software; Control system synthesis; Control systems; Distributed control; Industrial control; Management training; Neural networks; Predictive control; Predictive models; Process control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on
  • Conference_Location
    Trieste
  • Print_ISBN
    0-7803-4104-X
  • Type

    conf

  • DOI
    10.1109/CCA.1998.728428
  • Filename
    728428