Adaptive feedback control of chaotic neurodynamics in analog circuits

Hiroyasu Ando, Aki Nakano, Yoshihiko Horio, Kazuyuki Aihara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We propose a control strategy of chaotic dynamics to stabilize periodic orbits in nonlinear discrete-time dynamical systems (maps) and apply it to a chaotic neuron map model not only numerically but also experimentally by analog circuit implementation. The control method is based on an adaptive feedback adjustment of a control parameter of the system, which uses typical bifurcation structures of nonlinear dynamical systems. We can observe a clear fractal structure in the sets composed of controlled states with respect to different initial conditions. We also discuss possible applications of the controlled system as an analog-valued memory with high-capacity.

Original languageEnglish
Title of host publication2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
Pages2621-2624
Number of pages4
DOIs
Publication statusPublished - 2009 Oct 26
Externally publishedYes
Event2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009 - Taipei, Taiwan, Province of China
Duration: 2009 May 242009 May 27

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Other

Other2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
CountryTaiwan, Province of China
CityTaipei
Period09/5/2409/5/27

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Ando, H., Nakano, A., Horio, Y., & Aihara, K. (2009). Adaptive feedback control of chaotic neurodynamics in analog circuits. In 2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009 (pp. 2621-2624). [5118339] (Proceedings - IEEE International Symposium on Circuits and Systems). https://doi.org/10.1109/ISCAS.2009.5118339