• DocumentCode
    2717791
  • Title

    Prejudicial searches and the pole balancer

  • Author

    Cotter, Neil E. ; Guillerm, Thierry M. ; Soller, Jerome B. ; Conwell, Peter R.

  • Author_Institution
    Utah Univ., Salt Lake City, UT, USA
  • fYear
    1991
  • fDate
    8-14 Jul 1991
  • Firstpage
    689
  • Abstract
    The authors describe a modified random search method called `prejudicial searching´. This method always finds the global minimum of any continuous function on a compact domain. The authors consider the method in the context of minimizing an objective function for the pole-balancer control problem. They begin by reviewing the derivation of cooling schedules for simulated annealing. Using similar methods they prove the convergence of the `prejudicial search´ algorithm. Preliminary simulation results indicate that the random search and simulated annealing have roughly the same efficiency. The authors expect the prejudicial search to provide substantial improvements over the random search
  • Keywords
    control system analysis; convergence of numerical methods; learning systems; robots; search problems; simulated annealing; convergence; learning systems; objective function; pole balancer; prejudicial searching; random search; robotics; simulated annealing; Cities and towns; Convergence; Cooling; Learning; Neural networks; Optimal control; Optimization methods; Probes; Search methods; Simulated annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-0164-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.1991.155419
  • Filename
    155419