• DocumentCode
    115502
  • Title

    Controller order reduction with pole region constraint

  • Author

    Datta, Subashish ; Chakraborty, Debraj

  • Author_Institution
    Inst. fur Math., Tech. Univ. Berlin, Berlin, Germany
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    4428
  • Lastpage
    4433
  • Abstract
    The problem of finding a low order output feedback dynamic controller for multi-input multi-output linear systems is considered. The resulting closed loop poles are placed within a pre-specified region in the complex plane. The matrix fraction descriptions of the plant and controller are parameterized using the eliminant matrix. The non-convex constraints imposed by the regional pole placement requirement on the resulting polynomial matrices, are convexified using a well known LMI based inner approximation method for polynomial stability region. The approximated convex problem is shown to be a semidefinite program solvable by standard optimization tools.
  • Keywords
    MIMO systems; closed loop systems; concave programming; convex programming; feedback; linear matrix inequalities; linear systems; pole assignment; polynomial matrices; stability; LMI based inner approximation method; MIMO systems; approximated convex problem; closed loop poles; complex plane; controller order reduction; eliminant matrix; low order output feedback dynamic controller; matrix fraction descriptions; multi-input multi-output linear systems; nonconvex constraints; pole region constraint; polynomial matrices; polynomial stability region; regional pole placement requirement; semidefinite program; standard optimization tools; Approximation methods; Linear matrix inequalities; MIMO; Numerical stability; Optimization; Polynomials; Symmetric matrices; Convex optimizations; LMIs; Linear systems; Pole placement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7040080
  • Filename
    7040080