Hidden extreme multistability and its control with selection of a desired attractor in a non-autonomous Hopfield neuron

Author(s):  
Isaac Sami Doubla ◽  
Balamurali Ramakrishnan ◽  
Zeric Tabekoueng Njitacke ◽  
Jacques Kengne ◽  
Kartikeyan Rajagopal
2018 ◽  
Vol 54 (13) ◽  
pp. 808-810 ◽  
Author(s):  
Lu Wang ◽  
Sen Zhang ◽  
Yi‐Cheng Zeng ◽  
Zhi‐Jun Li

2018 ◽  
Vol 28 (13) ◽  
pp. 1850167 ◽  
Author(s):  
Sen Zhang ◽  
Yicheng Zeng ◽  
Zhijun Li ◽  
Chengyi Zhou

Recently, the notion of hidden extreme multistability and hidden attractors is very attractive in chaos theory and nonlinear dynamics. In this paper, by utilizing a simple state feedback control technique, a novel 4D fractional-order hyperchaotic system is introduced. Of particular interest is that this new system has no equilibrium, which indicates that its attractors are all hidden and thus Shil’nikov method cannot be applied to prove the existence of chaos for lacking hetero-clinic or homo-clinic orbits. Compared with other fractional-order chaotic or hyperchaotic systems, this new system possesses three unique and remarkable features: (i) The amazing and interesting phenomenon of the coexistence of infinitely many hidden attractors with respect to same system parameters and different initial conditions is observed, meaning that hidden extreme multistability arises. (ii) By varying the initial conditions and selecting appropriate system parameters, the striking phenomenon of antimonotonicity is first discovered, especially in such a fractional-order hyperchaotic system without equilibrium. (iii) An attractive special feature of the convenience of offset boosting control of the system is also revealed. The complex and rich hidden dynamic behaviors of this system are investigated by using conventional nonlinear analysis tools, including equilibrium stability, phase portraits, bifurcation diagram, Lyapunov exponents, spectral entropy complexity, and so on. Furthermore, a hardware electronic circuit is designed and implemented. The hardware experimental results and the numerical simulations of the same system on the Matlab platform are well consistent with each other, which demonstrates the feasibility of this new fractional-order hyperchaotic system.


2019 ◽  
Vol 120 ◽  
pp. 100-115 ◽  
Author(s):  
Brice Anicet Mezatio ◽  
Marceline Tingue Motchongom ◽  
Blaise Raoul Wafo Tekam ◽  
Romanic Kengne ◽  
Robert Tchitnga ◽  
...  

Author(s):  
Victor Kamdoum Tamba ◽  
Francois Kapche Tagne ◽  
Arsene Loic Mbanda Biamou ◽  
Manuela Corazon Nkeing ◽  
Armand Nzeukou Takougang

2017 ◽  
Vol 94 ◽  
pp. 102-111 ◽  
Author(s):  
B.C. Bao ◽  
H. Bao ◽  
N. Wang ◽  
M. Chen ◽  
Q. Xu

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Qiuzhen Wan ◽  
Zhaoteng Zhou ◽  
Wenkui Ji ◽  
Chunhua Wang ◽  
Fei Yu

In this paper, a novel no-equilibrium 5D memristive hyperchaotic system is proposed, which is achieved by introducing an ideal flux-controlled memristor model and two constant terms into an improved 4D self-excited hyperchaotic system. The system parameters-dependent and memristor initial conditions-dependent dynamical characteristics of the proposed memristive hyperchaotic system are investigated in terms of phase portrait, Lyapunov exponent spectrum, bifurcation diagram, Poincaré map, and time series. Then, the hidden dynamic attractors such as periodic, quasiperiodic, chaotic, and hyperchaotic attractors are found under the variation of its system parameters. Meanwhile, the most striking phenomena of hidden extreme multistability, transient hyperchaotic behavior, and offset boosting control are revealed for appropriate sets of the memristor and other initial conditions. Finally, a hardware electronic circuit is designed, and the experimental results are well consistent with the numerical simulations, which demonstrate the feasibility of this novel 5D memristive hyperchaotic system.


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