MEMRISTIVE NETWORKS OF CHUA’S CIRCUITS
Date Issued
2014
Author(s)
Kocarev, Ljupco
Abstract
Although envisioned in 1971 by L. Chua, memristors
have attracted the attention of the research community recently
by the promotion of their feasibility and a vast number of possible applications in non-volatile computer memory, pattern recognition and modelling neural networks. Synchronization is widely
studied as a phenomenon in neural networks. This work provides
synchronization analyses of two kinds of memristive networks of oscillators. First, we numerically examine networks of Chua’s circuits
coupled by memristors that adapt according to the local state disagreements. As second, we employ the Master stability function
(MSF) approach to study synchronization in networks of memristive Chua’s circuits coupled through simple resistors.
have attracted the attention of the research community recently
by the promotion of their feasibility and a vast number of possible applications in non-volatile computer memory, pattern recognition and modelling neural networks. Synchronization is widely
studied as a phenomenon in neural networks. This work provides
synchronization analyses of two kinds of memristive networks of oscillators. First, we numerically examine networks of Chua’s circuits
coupled by memristors that adapt according to the local state disagreements. As second, we employ the Master stability function
(MSF) approach to study synchronization in networks of memristive Chua’s circuits coupled through simple resistors.
Subjects
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