4.7 Article

Coexistence of multiple attractors and crisis route to chaos in a novel. memristive diode bidge-based Jerk circuit

期刊

CHAOS SOLITONS & FRACTALS
卷 91, 期 -, 页码 180-197

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chaos.2016.05.011

关键词

Memristor based jerk circuit; Bifurcation analysis; Coexistence of multiple attractors; Basins of attraction; Pspice simulation; Experimental study

向作者/读者索取更多资源

In the present paper, a new memristor based oscillator is obtained from the autonomous Jerk circuit [Kengne et al., Nonlinear Dynamics (2016) 83: 751-765] by substituting the nonlinear element of the original circuit with a first order memristive diode bridge. The model is described by a continuous time four-dimensional autonomous system with smooth nonlinearities. Various nonlinear analysis tools such as phase portraits, time series, bifurcation diagrams, Poincare section and the spectrum of Lyapunov exponents are exploited to characterize different scenarios to chaos in the novel circuit. It is found that the system experiences period doubling and crisis routes to chaos. One of the major results of this work is the finding of a window in the parameters' space in which the circuit develops hysteretic behaviors characterized by the coexistence of four different (periodic and chaotic) attractors for the same values of the system parameters. Basins of attractions of various coexisting attractors are plotted showing complex basin boundaries. As far as the authors' knowledge goes, the novel memristive jerk circuit represents one of the simplest electrical circuits (no analog multiplier chip is involved) capable of four disconnected coexisting attractors reported to date. Both PSpice simulations of the nonlinear dynamics of the oscillator and laboratory experimental measurements are carried out to validate the theoretical analysis. (C) 2016 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Engineering, Electrical & Electronic

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

Isaac Sami Doubla, Balamurali Ramakrishnan, Zeric Tabekoueng Njitacke, Jacques Kengne, Karthikeyan Rajagopal

Summary: This article investigates a single nonautonomous Hopfield neuron that uses a new hyperbolictype memristor for self-synaptic weight. The analysis of the model reveals various nonlinear phenomena, such as the coexistence of symmetric bifurcation diagrams and multiple periodic hidden attractors and chaotic hidden attractors. The study also successfully demonstrates the control of multiple coexisting hidden chaotic attractors in specific conditions.

AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS (2022)

Article Mathematics, Interdisciplinary Applications

A cryptosystem based on a chameleon chaotic system and dynamic DNA coding

V. R. Folifack Signing, G. A. Gakam Tegue, M. Kountchou, Z. T. Njitacke, N. Tsafack, J. D. D. Nkapkop, C. M. Lessouga Etoundi, J. Kengne

Summary: In this article, a chameleon cryptosystem based on a chameleon chaotic system and dynamic DNA coding is proposed for image encryption. The chosen chaotic sequences are tightly connected to disrupt the pixel image distribution. To enhance security, confusion and diffusion operations are closely related to the chaotic sequences. The experimental results demonstrate that the proposed cryptosystem performs well against various attacks.

CHAOS SOLITONS & FRACTALS (2022)

Article Mathematics, Interdisciplinary Applications

Hamiltonian energy computation of a novel memristive mega-stable oscillator (MMO) with dissipative, conservative and repelled dynamics

M. D. Vijayakumar, Hayder Natiq, Maxim Idriss Tametang Meli, Gervais Dolvis Leutcho, Zeric Tabekoueng Njitacke

Summary: This contribution introduces a novel memristive mega-stable oscillator (MMO) that exhibits mega-stability without external perturbation. The investigation of the oscillator's volume contraction rate reveals dissipative, conservative, and repelled dynamics depending on the bifurcation control parameter. The coexistence of attractors in a nested structure characterizes the mega-stability of the investigated oscillator. Multiple coexisting mega-stable attractors are supported by Pspice simulations.

CHAOS SOLITONS & FRACTALS (2022)

Article Neurosciences

Hamiltonian energy and coexistence of hidden firing patterns from bidirectional coupling between two different neurons

Zeric Tabekoueng Njitacke, Bernard Nzoko Koumetio, Balamurali Ramakrishnan, Gervais Dolvis Leutcho, Theophile Fonzin Fozin, Nestor Tsafack, Kartikeyan Rajagopal, Jacques Kengne

Summary: This paper investigates bidirectional-coupled neurons through an asymmetric electrical synapse, exploring different firing patterns under various electrical synaptic weights. It analyzes the equilibria, stabilities, and Hamiltonian energy of the model, as well as conducts Pspice simulations and digital implementation using an STM32F407ZE microcontroller development board to support the numerical results.

COGNITIVE NEURODYNAMICS (2022)

Article Physics, Multidisciplinary

Infinitely many coexisting hidden attractors in a new hyperbolic-type memristor-based HNN

Isaac Sami Doubla, Balamurali Ramakrishnan, Zeric Njitacke Tabekoueng, Jacques Kengne, Karthikeyan Rajagopal

Summary: This article studies a new model of Hopfield Neural Network (HNN) with two neurons and a hyperbolic-type memristor. The equilibrium points analysis shows that the system has an unstable line of equilibrium in the absence of external stimuli and no equilibrium point in the presence of external stimuli, indicating hidden attractors. Analyses for both cases reveal complex homogeneous and heterogeneous bifurcations with multiple coexisting attractors.

EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS (2022)

Article Engineering, Mechanical

Hopf Bifurcation, Multistability and its Control in a Satellite System

T. H. Tchinda, K. M. Wouapi, Z. Tabekoueng Njitacke, T. Fozin Fonzin, C. L. Gninzanlong, H. B. Fotsin

Summary: In this study, we investigate the dynamical behavior of a chaotic satellite system and demonstrate the occurrence of subcritical Hopf bifurcation as well as the coexistence of multiple orbits. We successfully apply a control strategy based on linear augmentation scheme to drive the satellite from chaotic orbit to periodic orbit.

JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES (2022)

Article Mathematics, Interdisciplinary Applications

Hamilton energy, complex dynamical analysis and information patterns of a new memristive FitzHugh-Nagumo neural network

Zeric Tabekoueng Njitacke, Clovis Ntahkie Takembo, Jan Awrejcewicz, Henri Paul Ekobena Fouda, Jacques Kengne

Summary: This paper presents and studies the dynamics of a single neuron and a network of an improved FitzHugh-Nagumo model with memristive autapse. The investigation reveals hidden dynamics in the improved model, and the energy in the system is only affected by the strength of the memristive autapse. The study of the network with 500 neurons shows that it supports localized information patterns with synchronization as a means of information coding.

CHAOS SOLITONS & FRACTALS (2022)

Article Engineering, Mechanical

Complex dynamics and autapse-modulated information patterns in memristive Wilson neurons

Zeric Tabekoueng Njitacke, Clovis Ntahkie Takembo, Bernard Nzoko Koumetio, Jan Awrejcewicz

Summary: This paper investigates an improved Wilson neuron model with a memristive autapse, revealing a variety of neuronal behaviors. The study suggests that high coupling has significant effects on chaotic and chimera-like behaviors in the network.

NONLINEAR DYNAMICS (2022)

Article Engineering, Electrical & Electronic

Energy computation, infinitely coexisting patterns and their control from a Hindmarsh-Rose neuron with memristive autapse: Circuit implementation

Zeric Tabekoueng Njitacke, Theophile Fonzin Fozin, Sishu Shankar Muni, Jan Awrejcewicz, Jacques Kengne

Summary: This study investigates the effects of memristive autapse on the dynamics of a 2D Hindmarsh-Rose neuron. The results show that the frequency of the external current has no impact on the energy, while the strength of the memristive autapse and the amplitude of the stimuli can influence the energy released by the neuron. The study reveals exotic neuronal behaviors such as reverse period doubling route to chaos, interior and exterior crises, and homogeneous extreme multistability.

AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS (2022)

Article Engineering, Electrical & Electronic

Complex Dynamics of Coupled Neurons Through a Memristive Synapse: Extreme Multistability and Its Control With Selection of the Desired State

Zeric Tabekoueng Njitacke, Jan Awrejcewicz, Adelaide Nicole Kengnou Telem, Theophile Fonzin Fozin, Jacques Kengne

Summary: In this study, a new configuration involving the coupling of a 2D Fitzhugh-Nagumo (FN) neuron with a 3D Hindmarsh-Rose (HR) neuron via a memristive synapse is investigated. The self-excited dynamics of the coupled neurons is revealed after analyzing the equilibria of the model. Resting activity, periodic spikes, periodic and chaotic bursts are found during the numerical investigation of the model. The coupled neurons display the rare phenomenon of homogeneous extreme multistability, where an infinite number of firing activities of the same nature but located at different levels in the phase space coexist. The selection of desired electrical activity dynamics is also emphasized through a noninvasive control scheme. An electronic circuit of the coupled neuron is designed and investigated to support the obtained results.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2023)

Article Physics, Multidisciplinary

A memristive autapse-synapse neural network: application to image encryption

Xi Zhang, Donghua Jiang, Jean De Dieu Nkapkop, Zeric Tabekoueng Njitacke, Musheer Ahmad, Liya Zhu, Nestor Tsafack

Summary: This paper investigates the dynamics of two different neurons coupled via memristive synapse and memristive autapse. The results suggest that the global dynamics of the system highly depends on the coupling strength. A cryptographic scheme based on both S-Box driven block compressive sensing and the memristive autapse synapse model is proposed, and performance analysis indicates that the coupling strength of the neural network model can be adjusted to increase or decrease the security of medical data.

PHYSICA SCRIPTA (2023)

Article Physics, Multidisciplinary

Complex dynamics of a heterogeneous network of Hindmarsh-Rose neurons

Zeric Tabekoueng Njitacke, Sishu Shankar Muni, Soumyajit Seth, Jan Awrejcewicz, Jacques Kengne

Summary: This study focuses on the collective behavior of two HR neurons and a network of HR neurons. By connecting a traditional 3D HR neuron and a memristive 2D HR neuron through a gap junction, the collective behavior of the coupled neurons is obtained. Numerical simulations reveal that the coupled neurons exhibit various behaviors, including periodic, quasi-periodic, and chaotic bursting or spiking, by adjusting the control parameter. The network topology affects the spatiotemporal patterns, with cluster states observed in non-homogenous ring and star structures.

PHYSICA SCRIPTA (2023)

Article Computer Science, Information Systems

A New Cross Ring Neural Network: Dynamic Investigations and Application to WBAN

Donghua Jiang, Zeric Tabekoueng Njitacke, Jean De Dieu Nkapkop, Nestor Tsafack, Xingyuan Wang, Jan Awrejcewicz

Summary: Wireless body area network (WBAN) is a crucial tool in modern medical areas for monitoring human vital signs. Security and bandwidth saturation are important challenges in WBAN technology. A neural network model called CRNN is analyzed and found to have self-excited dynamics. Experimental results show its application in medical image compression and security.

IEEE INTERNET OF THINGS JOURNAL (2023)

Article Automation & Control Systems

Novel Extreme Multistable Tabu Learning Neuron: Circuit Implementation and Application to Cryptography

Zeric Tabekoueng Njitacke, Jean De Dieu Nkapkop, Vitrice Folifack Signing, Nestor Tsafack, Michael Ekonde Sone, Jan Awrejcewicz

Summary: This article explores the complex dynamics of a simple memristive tabu learning neuron (MTLN). The stability analysis reveals that the MTLN displays self-excited dynamics and is highly sensitive to initial conditions. The coexistence of an infinite number of chaotic attractors in the MTLN, which is a novel finding, represents an important contribution of this work. The chaotic dynamics of the MTLN are further applied to compress and encrypt digital medical images, achieving high compression/encryption performances with low computational cost.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2023)

Article Physics, Multidisciplinary

Effect of external excitation on the isolated and collective dynamics of a generic FitzHugh-Rinzel neuron

Janarthanan Ramadoss, Clovis Ntahkie Takembo, Anitha Karthikeyan, Zeric Tabekoueng Njitacke, Jan Awrejcewicz

Summary: This article studies the isolated and collective dynamics of a FitzHugh-Rinzel neuron by adding a third variable to the generic FitzHugh-Nagumo neural circuit. It investigates the stability around a zero time constant and reveals the hidden dynamics of the model. The energy is analytically and theoretically investigated to support the various firing activities captured in the model, and the collective behavior of a network made of 50 neurons is analyzed using modulation instability theory.

EUROPEAN PHYSICAL JOURNAL PLUS (2023)

Article Mathematics, Interdisciplinary Applications

Stochastic optimal control and piecewise parameterization and optimization method for inventory control system improvement

Bo Li, Tian Huang

Summary: This paper proposes an approximate optimal strategy based on a piecewise parameterization and optimization (PPAO) method for solving optimization problems in stochastic control systems. The method obtains a piecewise parameter control by solving first-order differential equations, which simplifies the control form and ensures a small model error.

CHAOS SOLITONS & FRACTALS (2024)

Article Mathematics, Interdisciplinary Applications

Consensus formation among mobile agents in networks of heterogeneous interaction venues

Guram Mikaberidze, Sayantan Nag Chowdhury, Alan Hastings, Raissa M. D'Souza

Summary: This study explores the collective behavior of interacting entities, focusing on the co-evolution of diverse mobile agents in a heterogeneous environment network. Increasing agent density, introducing heterogeneity, and designing the network structure intelligently can promote agent cohesion.

CHAOS SOLITONS & FRACTALS (2024)

Article Mathematics, Interdisciplinary Applications

Development of a contact force model with a fluid damping factor for immersed collision events

Gengxiang Wang, Yang Liu, Caishan Liu

Summary: This investigation studies the impact behavior of a contact body in a fluidic environment. A dissipated coefficient is introduced to describe the energy dissipation caused by hydrodynamic forces. A new fluid damping factor is derived to depict the coupling between liquid and solid, as well as the coupling between solid and solid. A new coefficient of restitution (CoR) is proposed to determine the actual physical impact. A new contact force model with a fluid damping factor tailored for immersed collision events is proposed.

CHAOS SOLITONS & FRACTALS (2024)