• DocumentCode
    700840
  • Title

    Propositional logic in control and monitoring problems

  • Author

    Tyler, Matthew L. ; Morari, Manfred

  • Author_Institution
    Inst. fur Automatik, ETH - Z/ETL, Zürich, Switzerland
  • fYear
    1997
  • fDate
    1-7 July 1997
  • Firstpage
    2436
  • Lastpage
    2441
  • Abstract
    By using linear constraints on integer variables, logical inference can be incorporated within Model Predictive Control and model based detection problems resulting in mixed integer quadratic or mixed integer linear programming problems. Qualitative knowledge can be used to prioritize control objectives, or to improve performance of detection schemes. This article demonstrates some capabilities of combining logic using integer variables with quantitative models. An extended version is available from: ftp://ftp.ant.ee.ethz.ch/pnb/reports/postscript/ AUT96-15.ps.
  • Keywords
    formal logic; integer programming; linear programming; predictive control; quadratic programming; integer variable; linear constraint; logical inference; mixed integer linear programming; mixed integer quadratic programming; model based detection problem; model predictive control; propositional logic; Linear programming; Mathematical model; Monitoring; Optimization; Predictive control; Upper bound; Fault detection; Predictive control; Process control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 1997 European
  • Conference_Location
    Brussels
  • Print_ISBN
    978-3-9524269-0-6
  • Type

    conf

  • Filename
    7082471