Hidden Multistability in a Memristor-Based Cellular Neural Network

Birong Xu, Hairong Lin and Guangyi Wang

Advances in Mathematical Physics, 2020, vol. 2020, 1-10

Abstract:

In this paper, we report a novel memristor-based cellular neural network (CNN) without equilibrium points. Dynamical behaviors of the memristor-based CNN are investigated by simulation analysis. The results indicate that the system owns complicated nonlinear phenomena, such as hidden attractors, coexisting attractors, and initial boosting behaviors of position and amplitude. Furthermore, both heterogeneous multistability and homogenous multistability are found in the CNN. Finally, Multisim circuit simulations are performed to prove the chaotic characteristics and multistability of the system.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlamp:9708649

DOI: 10.1155/2020/9708649

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