Self-Organization in nonrecurrent Complex Systems

Self-Organization in nonrecurrent Complex Systems
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DOI:
10.1142/s0218127400000785
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发表时间:
2000-05
期刊:
Int. J. Bifurc. Chaos
影响因子:
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通讯作者:
P. Arena;R. Caponetto;L. Fortuna;A. Rizzo;M. L. Rosa
P. Arena;R. Caponetto;L. Fortuna;A. Rizzo;M. L. Rosa
中科院分区:
其他
文献类型:
--
作者:
P. Arena;R. Caponetto;L. Fortuna;A. Rizzo;M. L. Rosa

文献摘要

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本文研究由简单非线性细胞网络构成的系统。使用格模型,一些复杂系统的基本特征,如自组织和模式的形成说明。在第一部分中,我们利用一个全同蔡氏电路格,根据耦合系数和相邻维数等宏观参数的变化,实验研究了它的全局时空动力学行为。本文的第二部分涉及正则化和模式形成方面的显着改进,通过引入一些空间多样性,特别是由确定性,不可预测的动态生成的非线性系统的网络。仿真结果表明,在非局部连通单元较少、拓扑结构不规则、空间分集较小的网络中,同步和自组织现象发生。
In this paper, systems formed by networks of simple nonlinear cells are studied. Using lattice models, some of the fundamental features of complex systems such as self-organization and pattern formation are illustrated. In the first part of this work, a lattice of identical Chua's circuit is used to experimentally study its global spatiotemporal dynamics, according to the variation of some macroparameters, like the coupling coefficient or the neighboring dimension. The second part of the paper deals with the remarkable improvements regarding regularization and pattern formation, obtained in networks of nonlinear systems by introducing some spatial diversity, especially generated by deterministic, unpredictable dynamics. Simulation results show that synchronization and self-organization occur in networks with a few nonlocally connected cells, with irregular topology and small spatial diversity.