Generation of adjustment strategy of fuzzy-neural force controllers using genetic algorithms with fuzzy evaluation

K. Kiguchi; K. Watanabe; K. Izumi; T. Fukuda

doi:10.1109/IECON.2000.973221

Generation of adjustment strategy of fuzzy-neural force controllers using genetic algorithms with fuzzy evaluation

K. Kiguchi, K. Watanabe, K. Izumi, T. Fukuda

研究成果

抄録

This paper presents an effective force control method in which a fuzzy-neuro force controller is automatically adjusted in accordance with the unknown dynamics of an environment using a neural network. The adjustment strategy of the fuzzy-neural force controller, according to the environment dynamics, is automatically generated by the neural network in off-line manner using genetic algorithms with fuzzy evaluation. The effectiveness of the proposed force controller is evaluated by computer simulation with a 3-DOF planar robot manipulator model.

本文言語	English
ホスト出版物のタイトル	2000 26th Annual Conference of the IEEE Industrial Electronics Society, IECON 2000 - 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation 21st Century Technologies and Industrial Opportunities
出版社	Institute of Electrical and Electronics Engineers Inc.
ページ	620-625
ページ数	6
巻	1
ISBN（電子版）	0780364562, 9780780364561
DOI	https://doi.org/10.1109/IECON.2000.973221
出版ステータス	Published - 2000
外部発表	はい
イベント	26th Annual Conference of the IEEE Industrial Electronics Society, IECON 2000 - Nagoya, Aichi 継続期間: 10月 22 2000 → 10月 28 2000

Other

Other	26th Annual Conference of the IEEE Industrial Electronics Society, IECON 2000
国/地域	Japan
City	Nagoya, Aichi
Period	10/22/00 → 10/28/00

ASJC Scopus subject areas

制御およびシステム工学
電子工学および電気工学
産業および生産工学
器械工学

文献へのアクセス

10.1109/IECON.2000.973221

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引用スタイル

Kiguchi, K., Watanabe, K., Izumi, K., & Fukuda, T. (2000). Generation of adjustment strategy of fuzzy-neural force controllers using genetic algorithms with fuzzy evaluation. In 2000 26th Annual Conference of the IEEE Industrial Electronics Society, IECON 2000 - 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation 21st Century Technologies and Industrial Opportunities (Vol. 1, pp. 620-625). [973221] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IECON.2000.973221

Generation of adjustment strategy of fuzzy-neural force controllers using genetic algorithms with fuzzy evaluation. / Kiguchi, K.; Watanabe, K.; Izumi, K. その他.
2000 26th Annual Conference of the IEEE Industrial Electronics Society, IECON 2000 - 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation 21st Century Technologies and Industrial Opportunities. Vol. 1 Institute of Electrical and Electronics Engineers Inc., 2000. p. 620-625 973221.

研究成果

Kiguchi, K, Watanabe, K, Izumi, K & Fukuda, T 2000, Generation of adjustment strategy of fuzzy-neural force controllers using genetic algorithms with fuzzy evaluation. in 2000 26th Annual Conference of the IEEE Industrial Electronics Society, IECON 2000 - 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation 21st Century Technologies and Industrial Opportunities. vol. 1, 973221, Institute of Electrical and Electronics Engineers Inc., pp. 620-625, 26th Annual Conference of the IEEE Industrial Electronics Society, IECON 2000, Nagoya, Aichi, Japan, 10/22/00. https://doi.org/10.1109/IECON.2000.973221

Kiguchi K, Watanabe K, Izumi K, Fukuda T. Generation of adjustment strategy of fuzzy-neural force controllers using genetic algorithms with fuzzy evaluation. In 2000 26th Annual Conference of the IEEE Industrial Electronics Society, IECON 2000 - 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation 21st Century Technologies and Industrial Opportunities. Vol. 1. Institute of Electrical and Electronics Engineers Inc. 2000. p. 620-625. 973221 doi: 10.1109/IECON.2000.973221

Kiguchi, K. ; Watanabe, K. ; Izumi, K. その他. / Generation of adjustment strategy of fuzzy-neural force controllers using genetic algorithms with fuzzy evaluation. 2000 26th Annual Conference of the IEEE Industrial Electronics Society, IECON 2000 - 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation 21st Century Technologies and Industrial Opportunities. Vol. 1 Institute of Electrical and Electronics Engineers Inc., 2000. pp. 620-625

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Generation of adjustment strategy of fuzzy-neural force controllers using genetic algorithms with fuzzy evaluation

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Other

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