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

Authors:
A. Ruiz;D. H. Owens;S. Townley
Affiliations:
Centre for Syst. & Control Eng., Exeter Univ.;-;-
Venue:
IEEE Transactions on Neural Networks
Year:
1998

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Abstract

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