Adaptive synchronization of chaotic CNN and applications to secure communication.

Đàm Thanh Phương, Phạm Thượng Cát
Author affiliations

Authors

  • Đàm Thanh Phương Trường Đại học Công nghệ thông tin và tuyền thông - Đại học Thái Nguyên
  • Phạm Thượng Cát Viện Công nghệ thông tin – Viện Hàn lâm Khoa học và Công nghệ Việt Nam

DOI:

https://doi.org/10.15625/1813-9663/29/3/3018

Keywords:

Chaos system, adaptive synchronization, secure communication

Abstract

This paper solves chaotic signal synchronization problem of a cellular neural network with unknown parameters by using adaptive control theory. The constructed control and the parameters update laws are proven to ensure the global synchronization based on Lyapunov stability theory. From this result, we bring out the secure communication model for the synchronization and the chaotic property of the cellular neural network (SC-CNN). The simulation results are  performed on Matlab.

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Published

28-08-2013

How to Cite

[1]
Đàm T. Phương and P. T. Cát, “Adaptive synchronization of chaotic CNN and applications to secure communication”., JCC, vol. 29, no. 3, pp. 221–231, Aug. 2013.

Issue

Section

Cybernetics

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