• DocumentCode
    3008881
  • Title

    Computer algebra for exact complex stability margin computation

  • Author

    Ke, Nainn-Ping

  • Author_Institution
    Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    5
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    4235
  • Abstract
    The multivariable stability margin (kM) problem can be formulated as solving polynomial systems by using symbolic computation and stratified Morse theory. Once the solutions are found, the stability margin problem can be easily solved. For the complex kM problem, no matter how many uncertainties, there is only one one-dimensional polynomial system which needs to be solved in order to find all singularities to determine whether the boundary of the Horowitz template intercepts the origin or not. The objective of the paper is to describe how to use the Groebner basis method to solve this polynomial system. Due to the continuity property of complex μ, numerical solutions are good enough for complex μ computation. In addition, we can sample this one-dimensional polynomial system into several zero-dimensional polynomial systems. There are many efficient algorithm to solve these zero-dimensional polynomial systems. Therefore, we have an efficient way of singularity related method to compute exact complex kM
  • Keywords
    polynomials; robust control; symbol manipulation; Groebner basis method; Horowitz template; complex μ; computer algebra; continuity property; exact complex stability margin computation; multivariable stability margin; one-dimensional polynomial system; polynomial systems; stratified Morse theory; Algebra; Control systems; Feedback; Grid computing; Mathematical programming; Polynomials; Robust control; Robust stability; Stability analysis; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-6638-7
  • Type

    conf

  • DOI
    10.1109/CDC.2001.914564
  • Filename
    914564