Paper Title:
Estimation of Physical Parameters Using Learning Algorithm in Precision Positioning Control
  Abstract

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, H. Watanabe, K. Nakajima, "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
$32.00
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