Stabilization of Unstable Quasi-Periodic Solutions in Asymmetric Chaotic Neural Network Circuits -Numerical Simulations and Circuit Experiments-

Masahiro Ogawa; Yoshihiko Horio; Natsuhiro Ichinose; Motomasa Komuro

Summary

International Symposium on Nonlinear Theory and Its Applications

2015

Session Number:C2L-E

Session:

Number:C2L-E-1

Stabilization of Unstable Quasi-Periodic Solutions in Asymmetric Chaotic Neural Network Circuits -Numerical Simulations and Circuit Experiments-

Masahiro Ogawa, Yoshihiko Horio, Natsuhiro Ichinose, Motomasa Komuro,

pp.844-847

Publication Date:2015/12/1

Online ISSN:2188-5079

DOI:10.34385/proc.47.C2L-E-1

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Summary:

We, first, experimentally stabilize a quasi-periodic orbit in a switched-capacitor asymmetric 3-neuron chaotic neu ral network (CNN) circuit through a pole-placement control. The test method for quasi-periodicity suitable for noisy data is used to confirm the results. Second, we extend the 3-neuron CNN to a 5-neuron CNN. From the numerical simulations, we confirm the effectiveness of the control procedure to stabilize an unstable quasi-periodic orbit in the 5-neuron CNN.