• DocumentCode
    336875
  • Title

    Max-plus eigenvector representations for nonlinear H value functions

  • Author

    Horton, Michelle ; McEneaney, William M.

  • Author_Institution
    Dept. of Math., North Carolina State Univ., Raleigh, NC, USA
  • Volume
    3
  • fYear
    1998
  • fDate
    1998
  • Firstpage
    3506
  • Abstract
    The H problem for nonlinear systems is considered. The corresponding dynamic programming equation is a fully nonlinear, first-order, partial differential equation. Interestingly, if one switches from the normal definition of addition and multiplication to the max-plus algebra (which is no more complex), the solution operator becomes a linear operator. The solution can be expanded using a max-plus basis. The coefficients in this expansion satisfy a max-plus eigenvector equation for a matrix associated with this solution operator-thus transforming the nonlinear problem into a linear one. In fact there is a parameterized family of matrices for which this holds. Expressions and approximations for the coefficients in these matrices are given.
  • Keywords
    H control; dynamic programming; eigenvalues and eigenfunctions; matrix algebra; nonlinear control systems; nonlinear differential equations; partial differential equations; addition; dynamic programming equation; fully nonlinear first-order partial differential equation; linear operator; max-plus eigenvector representations; multiplication; nonlinear H value functions; solution operator; Algebra; Differential algebraic equations; Dynamic programming; Eigenvalues and eigenfunctions; Linearity; Mathematics; Nonlinear equations; Nonlinear systems; Steady-state; Viscosity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-4394-8
  • Type

    conf

  • DOI
    10.1109/CDC.1998.758250
  • Filename
    758250