Estimation of Physical Parameters Using Learning Algorithm in Precision Positioning Control

Abstract:

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In this paper, a high precision control and a state estimation methods based on the learning algorithm are proposed. By means of the feedback error-learning method, at first, the variation of physical parameter is identified. Then, online estimation can be performed comparing the learned weighting coefficients in the neural network. The proposed method is applied to a precision control system, and is verified through the experiments.

Info:

Periodical:

Advanced Materials Research (Volumes 211-212)

Edited by:

Ran Chen

Pages:

469-473

DOI:

10.4028/www.scientific.net/AMR.211-212.469

Citation:

S. Hashimoto et al., "Estimation of Physical Parameters Using Learning Algorithm in Precision Positioning Control", Advanced Materials Research, Vols. 211-212, pp. 469-473, 2011

Online since:

February 2011

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Price:

$35.00

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