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

Ran Wang | Zendy; Chunbiao Li | Zendy; Serdar Çiçek | Zendy; Karthikeyan Rajagopal | Zendy; Xin Zhang | Zendy

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

Author(s) -

Ran Wang,

Chunbiao Li,

Serdar Çiçek,

Karthikeyan Rajagopal,

Xin Zhang

Publication year - 2021

Publication title -

complexity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.447

H-Index - 61

eISSN - 1099-0526

pISSN - 1076-2787

DOI - 10.1155/2021/6636813

Subject(s) - artificial neural network , chaotic , field programmable gate array , computer science , amplitude , chaotic systems , memristor , artificial intelligence , control (management) , control theory (sociology) , electronic engineering , embedded system , engineering , physics , quantum mechanics

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.

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