遺伝的プログラミングによる形状可変トラス構造の自律分散形姿勢制御則の獲得  [in Japanese] Acquisition of Autonomous Distributed Rule for Posture Control of Variable Geometry Truss by Genetic Programming  [in Japanese]

Abstract

An acquisition technique of autonomous distributed rule for posture control of Variable Geometry Truss (VGT) is suggested by applying the Genetic Programming (GP) method. Each control rule produced by GP consists of hierarchical tree structures. The main tree structure contains condition trees and rule selection trees as function nodes, and control trees as terminal nodes. The acquisition system trains individual rule by the posture control simulation for the randomly given initial postures, and evaluates the rule by the simulation of given test postures. The validity of the acquisition system is confirmed numerically by applying to the stiffness maximization of ten-module VGT.

Journal

Transactions of the Japan Society of Mechanical Engineers. C   [Journal Detail]

日本機械学會論文集. C編  64(621)  pp.1715-1721 19980525  [Index]

The Japan Society of Mechanical Engineers

References:  6

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Cited by:  2

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Codes

  • NII Article ID (NAID):
    110002383743
  • NII NACSIS-CAT ID (NCID):
    AN00187463
  • Text Lang:
    JPN
  • Article Type:
    Journal Article
  • ISSN:
    03875024
  • NDL Article ID:
    0240288500
  • NDL Source Classification:
    ZN11(科学技術--機械工学・工業)
  • NDL Call No.:
    Z16-1056
  • Databases:
    CJP書誌  CJP引用  NDL  NII-ELS 

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