ARCHITECTURE AND STABILITY OF THE SECOND–ORDER CELLULAR NEURAL NETWORKS

  • Nguyen Quang Hoan Hung Yen University of Technology and Education
  • Nguyen Tai Tuyen Institute of Post Telecom – Information Technology
  • Duong Duc Anh Vietnam Research Institute of Electronics, Informatics and Automation
Keywords: Second-Order Cellular Neural Networks, Lyapunov function, stability

Abstract

In this paper, we study and propose i) Second-order Cellular Neural Networks (SOCNN) architecture based on standard CNN proposed by Leon. O. Chua with the 2nd-order polynomial inputs and bounded parameter assumptions. ii) The conditions for the existence and stability of the solutions of CNN are presented by choosing appropriate Lyapunov function. iii) Simulation and computing results by the simple example are perfomed on the Matlab (2014) Simulink.

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Published
2020-10-12
How to Cite
Nguyen Quang Hoan, Nguyen Tai Tuyen, & Duong Duc Anh. (2020). ARCHITECTURE AND STABILITY OF THE SECOND–ORDER CELLULAR NEURAL NETWORKS. UTEHY Journal of Science and Technology, 27, 91-97. Retrieved from http://tapchi.utehy.edu.vn/index.php/jst/article/view/395