Application of multiple fuzzy-neuro force controllers in an unknown environment using genetic algorithms

Kazuo Kiguchi; Keigo Watanabe; Kiyotaka Izumi; Toshio Fukuda

Application of multiple fuzzy-neuro force controllers in an unknown environment using genetic algorithms

Kazuo Kiguchi, Keigo Watanabe, Kiyotaka Izumi, Toshio Fukuda

Research output: Contribution to journal › Article › peer-review

Abstract

This paper presents an effective force control method in which multiple fuzzy-neuro force controllers are suitably combined with a proper rate in accordance with the unknown dynamics of an environment automatically. The optimal combination rate of the fuzzy-neuro force controllers according to the environment dynamics is defined online by a neural network which is off-line trained with genetic algorithms. The effectiveness of the proposed method has been evaluated by computer simulation.

Original language	English
Pages (from-to)	2106-2111
Number of pages	6
Journal	Unknown Journal
Volume	3
Publication status	Published - 2000
Externally published	Yes

All Science Journal Classification (ASJC) codes

Software
Control and Systems Engineering

Cite this

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title = "Application of multiple fuzzy-neuro force controllers in an unknown environment using genetic algorithms",

abstract = "This paper presents an effective force control method in which multiple fuzzy-neuro force controllers are suitably combined with a proper rate in accordance with the unknown dynamics of an environment automatically. The optimal combination rate of the fuzzy-neuro force controllers according to the environment dynamics is defined online by a neural network which is off-line trained with genetic algorithms. The effectiveness of the proposed method has been evaluated by computer simulation.",

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AU - Kiguchi, Kazuo

AU - Watanabe, Keigo

AU - Izumi, Kiyotaka

AU - Fukuda, Toshio

PY - 2000

Y1 - 2000

N2 - This paper presents an effective force control method in which multiple fuzzy-neuro force controllers are suitably combined with a proper rate in accordance with the unknown dynamics of an environment automatically. The optimal combination rate of the fuzzy-neuro force controllers according to the environment dynamics is defined online by a neural network which is off-line trained with genetic algorithms. The effectiveness of the proposed method has been evaluated by computer simulation.

AB - This paper presents an effective force control method in which multiple fuzzy-neuro force controllers are suitably combined with a proper rate in accordance with the unknown dynamics of an environment automatically. The optimal combination rate of the fuzzy-neuro force controllers according to the environment dynamics is defined online by a neural network which is off-line trained with genetic algorithms. The effectiveness of the proposed method has been evaluated by computer simulation.

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JO - Unknown Journal

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Application of multiple fuzzy-neuro force controllers in an unknown environment using genetic algorithms

Abstract

All Science Journal Classification (ASJC) codes

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