Experimental verification of quasi-periodic-orbit stabilization using a switched-capacitor chaotic neural network circuit

Author:

Horio Yoshihiko1,Ichinose Natsuhiro2,Ogawa Masahiro3

Affiliation:

1. Research Institute of Electrical Communication, Tohoku University

2. Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University

3. Graduate School of Engineering, Tokyo Denki University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation,General Medicine

Reference16 articles.

1. [1] http://www.sat.t.u-tokyo.ac.jp/first/en

2. [2] Analysis and Control of Complex Dynamical Systems, K. Aihara, J. Imura, and T. Ueta eds., Springer Japan, ISBN 978-4-431-55012-9, 2015.

3. [3] N. Ichinose and M. Komuro, “Stabilization control of quasi-periodic orbits,” Chapter 8 in [2], pp. 91-107, 2015.

4. [4] M. Ogawa, Y. Horio, N. Ichinose, and M. Komuro, “Circuit experiments on stabilization of unstable quasi-periodic solutions in an asymmetric chaotic neural network circuit,” in Proc. IEICE the 28th Workshop on Circuits and Systems, pp. 136-141, 2015 (in Japanese).

5. [5] M. Ogawa, Y. Horio, N. Ichinose, and M. Komuro, “Stabilization of unstable quasi-periodic solutions in asymmetric chaotic neural network circuits -Numerical simulations and circuit experiments-,” Proc. NOLTA, pp. 844-847, 2015.

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1. Quasiperiodic-Chaotic Neural Networks and Short-Term Analog Memory;International Journal of Bifurcation and Chaos;2021-01

2. Switched-Capacitor Circuit Implementation of the Chaotic Neural Network Reservoir;Journal of Signal Processing;2020-07-15

3. Statistical test of quasiperiodicity in the presence of dynamical noise;Nonlinear Theory and Its Applications, IEICE;2018

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