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Title :非厳密な評価規準をもつGAによる自転車のニューロ制御
Title alternative :Neurocontrol of Bicycle using GA with Rough Evaluations
Authors :山本, 哲彦
吐合, 隆拡
中園, 邦彦
金城, 寛
玉城, 史朗
Authors alternative :Yamamoto, Tetsuhiko
Haki-ai, Takahiro
Nakazono, Kunihiko
Kinjo, Hiroshi
Tamaki, Shiro
Issue Date :25-Sep-1996
Abstract :Genetic algorithms (GAs) with rough evaluations can prompt the evolution of neural networks that are able to control unstable dynamic systems. The proposed control method exploits the advantage of GAs that time-varying evaluations can be easily incorporated. First an easy evaluation in GAs induces the appearance of neural networks with controllability. Second, an evaluation of settling time prompts the evolution of neural networks that show high performance. The method is applied to the stable control of a bicycle. Neurocontrol of the steering at direction change causes reverse response like that of a human cyclist.
Type Local :雑誌掲載論文
ISSN :03875024
Publisher :日本機械学会
URI :http://hdl.handle.net/20.500.12000/64
Citation :日本機械学会論文集. C編 = Transactions of the Japan Society of Mechanical Engineers. C Vol.62 no.601 p.108 -113
Appears in Collections:Peer-reviewed Journal Articles (Faculty of Engineering)

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