A Memristive Hyperjerk Chaotic System: Amplitude Control, FPGA Design, and Prediction with Artificial Neural Network

Author:

Wang Ran1ORCID,Li Chunbiao12ORCID,Çiçek Serdar3ORCID,Rajagopal Karthikeyan4ORCID,Zhang Xin12ORCID

Affiliation:

1. Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing 210044, China

2. School of Artificial Intelligence, Nanjing University of Information Science & Technology, Nanjing 210044, China

3. Department of Electronic & Automation, Vocational School of Hacıbektaş, Nevşehir Hacı Bektaş Veli University, Hacıbektaş, Nevşehir 50800, Turkey

4. Center for Nonlinear Systems, Chennai Institute of Technology, Chennai, India

Abstract

An amplitude controllable hyperjerk system is constructed for chaos producing by introducing a nonlinear factor of memristor. In this case, the amplitude control is realized from a single coefficient in the memristor. The hyperjerk system has a line of equilibria and also shows extreme multistability indicated by the initial value-associated bifurcation diagram. FPGA-based circuit realization is also given for physical verification. Finally, the proposed memristive hyperjerk system is successfully predicted with artificial neural networks for AI based engineering applications.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

Reference50 articles.

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4. Two-Memristor-Based Chaotic System With Infinite Coexisting Attractors

5. Directly modulated semiconductor ring lasers: chaos synchronization and applications to cryptography communications;S. T. Kingni;Chaos Theory and Applications,2020

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