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