Hysteretic Dynamics, Space Magnetization and Offset Boosting in a Third-Order Memristive System

被引:0
作者
Z. T. Njitacke
R. L. Tagne Mogue
J. Kengne
M. Kountchou
H. B. Fotsin
机构
[1] University of Dschang,Unité de Recherche d’Automatique et Informatique Appliquée (LAIA), Department of Electrical Engineering, IUT
[2] University of Dschang,FV Bandjoun
[3] Institute of Geological and Mining Research,Unité de Recherche de Matière Condensée, d’Electronique et de Traitement du Signal (LAMACETS), Department of Physics
来源
Iranian Journal of Science and Technology, Transactions of Electrical Engineering | 2020年 / 44卷
关键词
Third-order memristive system; Occurrence of multiple attractors; Basins of attraction; Offset boosting; Pspice simulations;
D O I
暂无
中图分类号
学科分类号
摘要
In the present contribution, we investigate the dynamics of a third-order memristive system with only the origin as equilibrium point previously proposed in Kountchou et al. (Int J Bifurc Chaos 26(6):1650093, 2016). Here, the nonlinear component necessary for generating chaotic oscillations is designed using a memristor with fourth-degree polynomial function. Standard nonlinear analysis techniques are exploited to illustrate different chaos generation mechanisms in the system. One of the major results in this work is the finding of some windows in the parameters’ space in which the system experiences hysteretic dynamics; characterized by the coexistence of two and four different stable states for the same set of system parameters. Basins of attraction of various competing attractors are plotted showing complex basin boundaries. The magnetization of state space justifies jump between coexisting attractors. Furthermore, the model exhibits offset-boosting property with respect to a single variable. To the best of the authors’ knowledge, these interesting and striking behaviors (coexisting bifurcations and offset-boosting property) have not yet been reported in a third-order memristive system with only one equilibrium point in view of previously published systems with self-excited attractors. Some Pspice simulations are carried out to validate the theoretical analyses.
引用
收藏
页码:413 / 429
页数:16
相关论文
共 150 条
  • [31] Golpayegani SMRH(2019)Nonlinear dynamics of three-neurons-based hopfield neural networks (HNNs): remerging Feigenbaum trees, coexisting bifurcations and multiple attractors J Circuits Syst Comput 1 2-45
  • [32] Kengne J(2016)Coexistence of multiple attractors and crisis route to chaos in a novel memristive diode bridge-based Jerk circuit Chaos, Solitons Fractals 2018 1-undefined
  • [33] Kengne J(2017)Dynamical analysis and electronic circuit realization of an equilibrium free 3D chaotic system with a large number of coexisting attractors Optik 23 881-undefined
  • [34] Njitacke ZT(2018)Uncertain destination dynamics of a novel memristive 4D autonomous system Chaos, Solitons Fractals 120 213-undefined
  • [35] Kamdoum VT(2018)A plethora of behaviors in a memristor based Hopfield neural networks (HNNs) Int J Dyn Control. 540 167-undefined
  • [36] Negou AN(2019)Dynamical analysis of a novel 4-neurons based Hopfield neural network: emergences of antimonotonicity and coexistence of multiple stable states Int J Dyn Control 1 2-undefined
  • [37] Kengne J(2018)Circuit Implementation, Synchronization of Multistability, and Image Encryption of a Four-Wing Memristive Chaotic System Journal of Electrical and Computer Engineering 1 2-undefined
  • [38] Njitacke ZT(2010)Experimental demonstration of associative memory with memristive neural networks Neural Netw 21 2391-undefined
  • [39] Fotsin HB(2019)Simulation and experimental implementation of a line–equilibrium system without linear term Chaos, Solitons Fractals 453 80-undefined
  • [40] Kengne J(2014)Control of multistability Phys Rep 16 737-undefined