Tracking Control of Robot Manipulator Based on Robust Neural Network Control

Abstract:

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This paper presents a robust neural network control scheme for robot manipulator. The robust controller is employed to eliminate the effect of the uncertainties, and a neural network is utilized to learn the unknown uncertain upper bound, which improves the performance. The experiments have been implemented and demonstrate the validation of the proposed method.

Info:

Periodical:

Advanced Materials Research (Volumes 308-310)

Edited by:

Jian Gao

Pages:

1238-1241

DOI:

10.4028/www.scientific.net/AMR.308-310.1238

Citation:

S. X. Wang and G. Y. Yang, "Tracking Control of Robot Manipulator Based on Robust Neural Network Control", Advanced Materials Research, Vols. 308-310, pp. 1238-1241, 2011

Online since:

August 2011

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Price:

$35.00

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