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Existence, learning, and replication of periodic motions in recurrent neural networks

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3 Author(s)
Ruiz, A. ; Centre for Syst. & Control Eng., Exeter Univ., UK ; Owens, D.H. ; Townley, S.

A class of recurrent neural networks is shown to possess a stable limit cycle. A gradient type algorithm is used to modify the parameters of the network so that it learns and replicates autonomously a time varying periodic signal. The results are applied to controlling the repetitive motion of a two-link robot manipulator

Published in:

Neural Networks, IEEE Transactions on  (Volume:9 ,  Issue: 4 )

Date of Publication:

Jul 1998

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