Adaptive RBF Network Control for Uncertain System of Dual Arm Robot

Shao Hua Luo

doi:10.4028/www.scientific.net/AMM.281.37

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 281Adaptive RBF Network Control for Uncertain System...

Adaptive RBF Network Control for Uncertain System of Dual Arm Robot

Abstract:

In this paper, an adaptive RBF network controller is developed for a class of uncertain system of dual arm robot. RBF neural network is employed to estimate the unknown continuous functions. The tracking error is proved to be bounded and ultimately converges to an adequately compact set. The results indicate that the proposed controller has satisfying tracking performance.

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Periodical:

Applied Mechanics and Materials (Volume 281)

Pages:

37-40

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.281.37

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Online since:

January 2013

Authors:

Shao Hua Luo

Keywords:

Adaptive Control, Dual Arm Robot, RBF Network, Uncertain Systems

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References

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