• DocumentCode
    1162935
  • Title

    A global optimization method for the stackelberg problem with convex functions via problem transformation and concave programming

  • Author

    Shimizu, Kiyotaka ; Lu, Min

  • Author_Institution
    Faculty of Science and Technology, Keio University, Yokohama 223, Japan
  • Volume
    25
  • Issue
    12
  • fYear
    1995
  • Firstpage
    1635
  • Lastpage
    1640
  • Abstract
    A global optimization method is proposed for solving the Stackelberg problem through problem transformation and concave programming. The proposed method is applicable to a broad class of the Stackelberg problem, in which each function in upper-level is convex or a difference of two convex functions, and that in lower-level is convex.
  • Keywords
    actuators; cooperative systems; manipulator dynamics; optimisation; path planning; torque control; actuator torques; constraints; cooperative systems; motion planning; multiple objective optimization; multiple robot system; orthogonal projection; time-optimal motion; velocity profile; Acceleration; Actuators; Control systems; Instruments; Intelligent robots; Motion analysis; Motion planning; Multirobot systems; Path planning; Robot sensing systems;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/21.478451
  • Filename
    478451
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1162935