title: Existence, learning, and replication of periodic motions in recurrent neural networks.
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.
authors.affiliation: Centre for Systems and Control Engineering, University of Exeter, Exeter EX4 4QF, UK.
authors.forename: A
authors.initials: A
authors.lastname: Ruiz
authors.forename: D H
authors.initials: DH
authors.lastname: Owens
authors.forename: S
authors.initials: S
authors.lastname: Townley