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    Three-Dimensional Space Chaotic Scrolls Generated by Memristive Hopfield Neural Network and Its Application in Robot Path Planning

    Source: Journal of Computational and Nonlinear Dynamics:;2024:;volume( 019 ):;issue: 012::page 121009-1
    Author:
    Guo, Linyang
    ,
    Yang, Runxian
    ,
    Tang, Mingjun
    ,
    Wang, Lixia
    ,
    Xu, Chunlin
    DOI: 10.1115/1.4066729
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, a novel three-dimensional space-scroll chaotic attractor is constructed by introducing piece-wise linear memristors into a three-neurons-based Hopfield neural network to simulate the electromagnetic influence on neural dynamics. The dynamical behaviors of the novel memristive Hopfield neural network are discussed by means of numerical methods including the Lyapunov exponent spectrum, bifurcation diagrams, phase plots and dynamic maps. Furthermore, we also investigated different neurons subject to the memristive electromagnetic influence, where the two-dimensional grid-scroll chaotic attractors can be generated by one neuron subjects to the electromagnetic influence and three-dimensional space-scroll chaotic attractors can be generated by all of the neurons subject to the memristive electromagnetic influence. Moreover, we present a three-dimensional space-scroll scroll attractor-based chaotic mobile robot system. Superiority of the proposed space-scroll-based chaotic mobile robot system compared to existing methods has been demonstrated through numerical simulations.
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      Three-Dimensional Space Chaotic Scrolls Generated by Memristive Hopfield Neural Network and Its Application in Robot Path Planning

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4306046
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    contributor authorGuo, Linyang
    contributor authorYang, Runxian
    contributor authorTang, Mingjun
    contributor authorWang, Lixia
    contributor authorXu, Chunlin
    date accessioned2025-04-21T10:22:19Z
    date available2025-04-21T10:22:19Z
    date copyright10/22/2024 12:00:00 AM
    date issued2024
    identifier issn1555-1415
    identifier othercnd_019_12_121009.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4306046
    description abstractIn this paper, a novel three-dimensional space-scroll chaotic attractor is constructed by introducing piece-wise linear memristors into a three-neurons-based Hopfield neural network to simulate the electromagnetic influence on neural dynamics. The dynamical behaviors of the novel memristive Hopfield neural network are discussed by means of numerical methods including the Lyapunov exponent spectrum, bifurcation diagrams, phase plots and dynamic maps. Furthermore, we also investigated different neurons subject to the memristive electromagnetic influence, where the two-dimensional grid-scroll chaotic attractors can be generated by one neuron subjects to the electromagnetic influence and three-dimensional space-scroll chaotic attractors can be generated by all of the neurons subject to the memristive electromagnetic influence. Moreover, we present a three-dimensional space-scroll scroll attractor-based chaotic mobile robot system. Superiority of the proposed space-scroll-based chaotic mobile robot system compared to existing methods has been demonstrated through numerical simulations.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleThree-Dimensional Space Chaotic Scrolls Generated by Memristive Hopfield Neural Network and Its Application in Robot Path Planning
    typeJournal Paper
    journal volume19
    journal issue12
    journal titleJournal of Computational and Nonlinear Dynamics
    identifier doi10.1115/1.4066729
    journal fristpage121009-1
    journal lastpage121009-10
    page10
    treeJournal of Computational and Nonlinear Dynamics:;2024:;volume( 019 ):;issue: 012
    contenttypeFulltext
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