1-402 Applications of Adaptive Strategies to an Intelligent Mobile Vehicle

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概要

• 論文の詳細を見る

• This paper presents a practical control method for the experimental mobile vehicle. By merging the advantages of the neural network, clustering algorithm and fuzzy control, adaptive fuzzy control based on neural network is presented. The adaptive fuzzy control system can deal with a large amount of training data by neural network, from these data produce more reasonable fuzzy rules by adaptive algorithm, at last control the object by fuzzy control. This is not the simple combination of the three methods, but merging them into one control system. Experiments and some future considerations are given.

• 一般社団法人日本機械学会の論文
• 2002-11-14

著者

• Sugisaka Masanori

  Dept. Of Electrical & Electronic Eng. Oita University

• Sugisaka Masanori

  Dept. Of Electrical And Electronic Engineering Oita University

• Dai Fengzhi

  Dept. Of Electrical And Electronic Engineering Oita University

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