• DocumentCode
    3411483
  • Title

    Polynomial matrices for the design of multivariable control systems using symbolic computation

  • Author

    Ogunye, Ayowale B. ; Penlidis, A. ; Reilly, P.M.

  • Author_Institution
    Comput. & Inf. Technol. Lab., Dow Chem. Co., Midland, MI, USA
  • fYear
    1996
  • fDate
    31 Mar-2 Apr 1996
  • Firstpage
    540
  • Lastpage
    544
  • Abstract
    This paper describes a collection of algorithms developed in a computer algebra package (MapleV) using polynomial matrix theory. The developed algorithms provide a medium in which polynomial matrix operations are carried out. Most importantly, these polynomid matrix procedures, enable the design and analysis of multivariable control systems using the algebraic or polynomial equation approach. This algebraic design would have been extremely difficult to carry out in a strict numeric computing environment. The use of MapleV has provided symbolic results quickly and efficiently, with a tremendous gain in time and with minimal effort
  • Keywords
    control system CAD; control system analysis computing; multivariable control systems; polynomial matrices; software packages; symbol manipulation; MapleV; computer algebra package; multivariable control systems; polynomial matrices; strict numeric computing environment; symbolic computation; Algebra; Chemical engineering; Chemical technology; Control systems; Information technology; Laboratories; Nonlinear equations; Packaging; Polynomials; State-space methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 1996., Proceedings of the Twenty-Eighth Southeastern Symposium on
  • Conference_Location
    Baton Rouge, LA
  • ISSN
    0094-2898
  • Print_ISBN
    0-8186-7352-4
  • Type

    conf

  • DOI
    10.1109/SSST.1996.493563
  • Filename
    493563