• DocumentCode
    3625633
  • Title

    Continuous-Time Wiener-Model Predictive Control of a pH Process

  • Author

    Simon Oblak;Igor Skrjanc

  • Author_Institution
    University of Ljubljana, Faculty of Electrical Engineering, Tr?a?ka cesta 25, SI-1000 Ljubljana, Slovenia. E-mail: simon.oblak@fe.uni-lj.si
  • fYear
    2007
  • fDate
    6/1/2007 12:00:00 AM
  • Firstpage
    771
  • Lastpage
    776
  • Abstract
    This paper deals with a novel formulation of continuous-time model-predictive control for nonlinear systems. A nonlinear-mapping approximation, employing a fuzzy system, is also an integral part of the control scheme, and thus removes the need for output-function invertibility. Analytical formulation of the control law makes it possible to use the method in practice, especially in chemical industry. An illustrative experiment is conducted to compare the proposed approach with a method of nonlinear robust Hinfin control of a pH neutralization process.
  • Keywords
    "Predictive control","Predictive models","Signal mapping","Nonlinear control systems","Nonlinear systems","Fuzzy systems","Control system synthesis","Control systems","Chemical analysis","Chemical industry"
  • Publisher
    ieee
  • Conference_Titel
    Information Technology Interfaces, 2007. ITI 2007. 29th International Conference on
  • ISSN
    1330-1012
  • Print_ISBN
    953-7138-09-7
  • Type

    conf

  • DOI
    10.1109/ITI.2007.4283869
  • Filename
    4283869
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3625633