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Schnakenberg系统的时空斑图演化机理研究

董顺科 肖敏 虞文武

董顺科, 肖敏, 虞文武. Schnakenberg系统的时空斑图演化机理研究. 自动化学报, xxxx, xx(x): x−xx doi: 10.16383/j.aas.c230637
引用本文: 董顺科, 肖敏, 虞文武. Schnakenberg系统的时空斑图演化机理研究. 自动化学报, xxxx, xx(x): x−xx doi: 10.16383/j.aas.c230637
Dong Shun-Ke, Xiao Min, Yu Wen-Wu. Study on spatiotemporal pattern evolution mechanism of schnakenberg system. Acta Automatica Sinica, xxxx, xx(x): x−xx doi: 10.16383/j.aas.c230637
Citation: Dong Shun-Ke, Xiao Min, Yu Wen-Wu. Study on spatiotemporal pattern evolution mechanism of schnakenberg system. Acta Automatica Sinica, xxxx, xx(x): x−xx doi: 10.16383/j.aas.c230637

Schnakenberg系统的时空斑图演化机理研究

doi: 10.16383/j.aas.c230637
基金项目: 国家自然科学基金(62073172, 62233004, 62073076), 江苏省自然科学基金 (BK20221329), 江苏省应用数学科学研究中心(BK20233002)资助
详细信息
    作者简介:

    董顺科:南京邮电大学自动化学院人工智能学院硕士研究生. 主要研究方向为反应扩散系统. E-mail: dongshunke314@163.com

    肖敏:南京邮电大学自动化学院人工智能学院教授. 主要研究方向为非线性控制理论, 复杂网络, 神经网络, 信息网络融合系统和反常扩散系统. 本文通信作者. E-mail: candymanxm2003@aliyun.com

    虞文武:东南大学数学学院教授. 2010年获得香港城市大学电子工程系博士学位. 主要研究方向为复杂网络系统协同分析, 控制与优化. E-mail: wwyu@seu.edu.cn

Study on Spatiotemporal Pattern Evolution Mechanism of Schnakenberg System

Funds: Supported by National Natural Science Foundation of China (62073172, 62233004, 62073076), Natural Science Foundation of Jiangsu Province of China (BK20221329), and Jiangsu Provincial Scientific Research Center of Applied Mathematics (BK20233002)
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    Author Bio:

    DONG Shun-Ke Master student at the College of Automation & College of Artificial intelligence, Nanjing University of Posts and Telecommunications. His research interest covers reaction-diffusion system

    XIAO Min Professor at the College of Automation & College of Artificial intelligence, Nanjing University of Posts and Telecommunications. His research interest covers nonlinear control theory, complex networks, neural networks, cyber-physical systems, and anomalous diffusion systems. Corresponding author of this paper

    YU Wen-Wu Professor at the School of Mathematics, Southeast University. He received his Ph.D. degree from the Department of Electrical Engineering, City University of Hong Kong in 2010. His research interest covers collaborative analysis, control and optimization of complex networked systems

  • 摘要: Schnakenberg系统是一类典型的化学反应扩散控制系统. 目前国内外研究仅局限于Schnakenberg系统的Turing不稳定与分岔, 而关于其化学斑图演化机理的报道较少. 斑图机理分析可以准确揭示化学反应中自组织现象的产生和空间模式的演化规律. 本文研究交叉扩散驱动下Schnakenberg系统斑图的结构蜕变、演化速度及时间依赖性, 重点探讨交叉扩散对其动力学与斑图演化的响应机制. 研究发现, 当自扩散诱导的系统稳定时, 交叉扩散可以激发斑图的产生; 当自扩散诱导的系统不稳定时, 交叉扩散可以实现斑图结构的蜕变; 对于环波结构, 不同组分的交叉扩散可以影响其演化速度; 对于时间依赖性, 交叉扩散可以激发随时间周期变化的斑图产生, 并可将此类斑图转换为随时间相对稳定的斑图. 因此, 交叉扩散对于Schnakenberg系统的斑图产生、蜕变、演化速度及时间依赖性都起着至关重要的作用.
  • 图  1  系统(1)色散关系曲线($ a = 0.1,\ b = 1, $ $\ {{D}_{u}} = 1.0,\ {{D}_{v}} = 0.1$)

    Fig.  1  Dispersion relation curve of system (1)($ a = 0.1,\ b = 1,\ {{D}_{u}} = 1.0,\ {{D}_{v}} = 0.1$)

    图  2  系统(1)稳定的斑图($ {{D}_{uv}} = {{D}_{vu}} = 0,\ {t} = 1\ 000$)

    Fig.  2  Stable pattern in the system (1)($ {{D}_{uv}} = {{D}_{vu}} = 0,\ {t} = 1\ 000$)

    图  3  点-稀疏条混合斑图(${{D}_{uv}} = 1.5, $ $ \ {{D}_{vu}} = -0.1,\ {t} = 1\ 000$)

    Fig.  3  Mixed pattern of points and sparse Stripes ($ {{D}_{uv}} = 1.5,\ {{D}_{vu}} = -0.1,\ {t} = 1\ 000$)

    图  4  不同交叉扩散系数取值的色散关系曲线及斑图((a)色散关系曲线; (b)点状斑图; (c)点条混合斑图; (d)条状斑图; (e)六边形斑图; (f)星星状斑图)

    Fig.  4  Dispersion relation curves and patterns with different cross-diffusion coefficient values ((a) Dispersion relation curves; (b) Point pattern; (c) Mixed point and stripe pattern; (d) Stripe pattern; (e) Hexagonal pattern; (f) Star pattern)

    图  5  不同参数组合的斑图结构

    Fig.  5  Pattern structures with different parameter combinations

    图  6  环波形成过程((a)$t = 50$; (b)$t = 75$; (c)$t = 100$)

    Fig.  6  Formation process of circular wave((a)$t = 50$; (b)$t = 75$; (c)$t = 100$)

    图  7  引入交叉扩散的环波结构((a)${{D}_{uv}} = -0.15,\ {{D}_{vu}} = 0$; (b)${{D}_{uv}} = 0.15,\ {{D}_{vu}} = 0$; (c)${{D}_{uv}} = 0,\ {{D}_{vu}} = -0.1$; (d)${{D}_{uv}} = 0,\ {{D}_{vu}} = 0.15$)

    Fig.  7  Introduction of circular wave structure with cross-diffusion ((a)${{D}_{uv}} = -0.15,\ {{D}_{vu}} = 0$; (b)${{D}_{uv}} = 0.15,\ {{D}_{vu}} = 0$; (c)${{D}_{uv}} = 0,\ {{D}_{vu}} = -0.1$; (d)${{D}_{uv}} = 0,\ {{D}_{vu}} = 0.15$)

    图  8  随时间周期变化的时空结构((a)${t} = 506$; (b)${t} = 510$; (c)${t} = 520$; (d)${t} = 530$; (e)${t} = 536.5$; (f)${t} = 540.5$; (g)${t} = 550.5$; (h)${t} = 560.5$)

    Fig.  8  Spatio-temporal structure with time cycle((a)${t} = 506$; (b)${t} = 510$; (c)${t} = 520$; (d)${t} = 530$; (e)${t} = 536.5$; (f)${t} = 540.5$; (g)${t} = 550.5$; (h)${t} = 560.5$)

    图  9  系统(1)色散关系曲线

    Fig.  9  Dispersion relation curve of system (1)

    图  10  点条混合斑图($t = 1\ 000$)

    Fig.  10  Mixed point and stripe pattern($t = 1\ 000$)

    图  11  系统(1)中变量$u(100,100,t)$的波形图($a = 0.05,\ b = 0.2625,\ D_u = D_v = 0.1$) ((a)${{D}_{uv}} = -0.1$, ${{D}_{vu}} = 0$; (b)${{D}_{uv}} = {{D}_{vu}} = 0.05$)

    Fig.  11  Waveform of variables $u(100,100,t)$ in system (1)($a = 0.05,\ b = 0.2625,\ D_u = D_v = 0.1$)((a)${{D}_{uv}} = -0.1$, ${{D}_{vu}} = 0$; (b)${{D}_{uv}} = {{D}_{vu}} = 0.05$)

    表  1  不同交叉扩散系数取值的12环成型时间 ($a = 0.1$, $b = 1.0$, $D_u = 0.1$, $D_v = 2.0$)

    Table  1  different formation times of 12-ring patterns with various cross-diffusion coefficient values ($a = 0.1$, $b = 1.0$, $D_u = 0.1$, $D_v = 2.0$)

    $D_{uv}$ $D_{vu}$ $t=75$时环数 12环成型时间
    0 0 9 100
    −0.15 0 6 155
    0.15 0 11 85
    0 −0.10 10 95
    0 0.15 7 125
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