Estimation of Physical Parameters Using Learning Algorithm in Precision Positioning Control

Seiji Hashimoto; Hiroki Watanabe; Kenji Nakajima

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 211-212Estimation of Physical Parameters Using Learning...

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.

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Periodical:

Advanced Materials Research (Volumes 211-212)

Pages:

469-473

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.211-212.469

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Online since:

February 2011

Authors:

Seiji Hashimoto, Hiroki Watanabe, Kenji Nakajima

Keywords:

Feedback Error-Learning, Neural Network (NN), Precision Positioning Control, State Estimation

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