连续-离散混合复杂网络的脉冲量化同步方法

IF 1.3 4区数学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Discrete Dynamics in Nature and Society Pub Date : 2023-10-13 DOI:10.1155/2023/7273140

Na Hu, Luyan Li, Honghua Bin, Zhenkun Huang

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引用次数: 0

摘要

提出了用脉冲量化方法实现连续-离散混合复杂网络的同步。提出了一种延迟划分群策略，设计了脉冲量化控制，导出了保证复杂网络尺度型同步的理论准则。研究结果表明，通过脉冲量化控制延迟划分子群节点，可以实现混合连续离散复杂网络的同步。理论结果给出了依赖于控制增益、脉冲间隔和延迟的量子化同步的尺度有限的充分条件。通过数值仿真验证了理论结果的有效性。

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An Impulse-Quantizing Synchronization Approach for Mixed Continuous-Discrete Complex Networks

This paper presents synchronization of mixed continuous-discrete complex network via impulse-quantizing approach. A delay-partitioning group strategy is proposed and impulse-quantizing control is designed to derive theoretical criteria ensuring scale-type synchronization of complex networks. Our results show that synchronization of mixed continuous-discrete complex networks can be realized by controlling delay-partitioning subgroup nodes with impulsive quantization. The theoretical results give scale-limited sufficient conditions for quantized synchronization relying on control gains, impulsive intervals, and delays. A numerical simulation is given to demonstrate the effectiveness of the theoretical results.

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来源期刊

Discrete Dynamics in Nature and Society 综合性期刊-数学跨学科应用

CiteScore

3.00

自引率

0.00%

发文量

598

审稿时长

3 months

期刊介绍： The main objective of Discrete Dynamics in Nature and Society is to foster links between basic and applied research relating to discrete dynamics of complex systems encountered in the natural and social sciences. The journal intends to stimulate publications directed to the analyses of computer generated solutions and chaotic in particular, correctness of numerical procedures, chaos synchronization and control, discrete optimization methods among other related topics. The journal provides a channel of communication between scientists and practitioners working in the field of complex systems analysis and will stimulate the development and use of discrete dynamical approach.