• DocumentCode
    2912925
  • Title

    Open-loop Nash equilibrium in polynomial differential games via state-dependent Riccati equation

  • Author

    Jimenez-Lizarraga, Manuel ; Basin, Michael ; Rodriguez, Claudia ; Rodriguez-Ramirez, Pablo

  • Author_Institution
    Dept. of Phys. & Math. Sci., Autonomous Univ. of Nuevo Leon, San Nicolas de los Garza, Mexico
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    4981
  • Lastpage
    4986
  • Abstract
    This paper studies finite- as well as infinite-time horizon nonzero-sum polynomial differential games. In both cases, we explore the so-called state-dependent Riccati equations to find a set of strategies that guarantee an open loop-Nash equilibrium for this particular class of nonlinear games. We demonstrate that this solution leads the game to an ε - or quasi-equilibrium and provide an upper bound for this ε quantity. The proposed solution is given as a set of N coupled polynomial Riccati-like state-dependent differential equations, where each equation includes a p-linear form tensor representation for its polynomial part.We provide an algorithm for finding the solution of the state-dependent algebraic equation in the infinite-time case based on a Hamiltonian approach. A numerical procedure is detailed to find the solution for this set of strategies. Numerical examples are presented to illustrate the effectiveness of the approach.
  • Keywords
    Riccati equations; differential equations; differential games; nonlinear equations; polynomials; tensors; ε-equilibrium; Hamiltonian approach; N coupled polynomial Riccati-like state-dependent differential equations; finite-time horizon nonzero-sum polynomial differential games; infinite-time horizon nonzero-sum polynomial differential games; nonlinear games; open-loop Nash equilibrium; p-linear form tensor representation; quasi-equilibrium; Games; Nash equilibrium; Polynomials; Riccati equations; Trajectory; Vectors; Differential games; Nash equilibrium; Polynomial systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2013
  • Conference_Location
    Washington, DC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-0177-7
  • Type

    conf

  • DOI
    10.1109/ACC.2013.6580611
  • Filename
    6580611