Memristive Computation-Oriented Chaos and Dynamics Control

Xu Ma; Xu Ma; Chunbiao Li; Chunbiao Li; Ran Wang; Ran Wang; Yicheng Jiang; Yicheng Jiang; Tengfei Lei

doi:10.3389/fphy.2021.759913

Frontiers in Physics (Oct 2021)

Memristive Computation-Oriented Chaos and Dynamics Control

Xu Ma,
Xu Ma,
Chunbiao Li,
Chunbiao Li,
Ran Wang,
Ran Wang,
Yicheng Jiang,
Yicheng Jiang,
Tengfei Lei

Affiliations

Xu Ma: Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET) Nanjing University of Information Science and Technology, Nanjing, China
Xu Ma: School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China
Chunbiao Li: Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET) Nanjing University of Information Science and Technology, Nanjing, China
Chunbiao Li: School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China
Ran Wang: Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET) Nanjing University of Information Science and Technology, Nanjing, China
Ran Wang: School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China
Yicheng Jiang: Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET) Nanjing University of Information Science and Technology, Nanjing, China
Yicheng Jiang: School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China
Tengfei Lei: Collaborative Innovation Center of Memristive Computing Application (CICMCA), Qilu Institute of Technology, Jinan, China

DOI: https://doi.org/10.3389/fphy.2021.759913
Journal volume & issue: Vol. 9

Abstract

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A variable boostable chaotic system and the Hindmarsh–Rose neuron model are applied for observing the dynamics revised by memristive computation. Nonlinearity hidden in a memristor makes a dynamic system prone to be chaos. Inherent dynamics in a dynamic system can be preserved in specific circumstances. Specifically, as an example, offset boosting in the original system is inherited in the derived memristive system, where the average value of the system variable is rescaled linearly by the offset booster. Additional feedback from memristive computation raises chaos, as a case, in the Hindmarsh–Rose neuron model the spiking behavior of membrane potential exhibits chaos with a relatively large parameter region of the memristor.

Published in Frontiers in Physics

ISSN: 2296-424X (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Science: Physics
Website: https://www.frontiersin.org/journals/physics

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Abstract

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