• DocumentCode
    1616976
  • Title

    Near-optimal Pareto coordination of composite systems

  • Author

    Mizukami, Koichi ; Xu, Hua

  • Author_Institution
    Fac. of Integrated Arts & Sci., Hiroshima Univ., Japan
  • fYear
    1990
  • Firstpage
    108
  • Abstract
    The Pareto-optimal coordination problem in a large-scale composite system when cooperation among decision makers is not expected is studied. Because of the existence of a small singular perturbation parameter in the composite system, the construction of the full-order coordinating strategy is parametrically stiff and ill-conditioned. Instead, it might be possible to use the reduced-order coordination design to overcome the difficulties arising in the full-order coordination design. The authors propose a reduced-order procedure to construct the coordinating strategy for the coordinator and prove that the method produces the well-posed coordinating strategy
  • Keywords
    decision theory; large-scale systems; composite systems; full-order coordinating strategy; near optimal Pareto coordination; reduced-order coordination design; singular perturbation parameter; Art; Artificial intelligence; Cost function; Decision making; Interconnected systems; Large scale integration; Large-scale systems; Nash equilibrium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 1990. IECON '90., 16th Annual Conference of IEEE
  • Conference_Location
    Pacific Grove, CA
  • Print_ISBN
    0-87942-600-4
  • Type

    conf

  • DOI
    10.1109/IECON.1990.149120
  • Filename
    149120