利用采样数据信息实现常时延耦合神经网络的同步。

IF 9.4 1区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

IEEE Transactions on Cybernetics Pub Date : 2023-10-12 DOI:10.1109/TCYB.2023.3318987

Xiang Liu;Siqin Liao;Zheng-Guang Wu;Yuanqing Wu

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引用次数: 0

摘要

本文研究了一种利用采样数据信息实现常时延耦合神经网络同步控制的方法。提出了一种基于相邻节点采样数据信息的分布式控制协议。构造了李雅普诺夫函数来分析具有恒定时延的细胞神经网络的同步问题。利用Park积分不等式和改进的自由权矩阵积分不等式，为细胞神经网络实现保守性较小的同步提供了充分条件。此外，通过将充分条件转化为优化问题来确定最大采样间隔，并采用非周期采样控制技术来降低通信能量负载。最后，通过数值模拟验证了该方法能够实现同步。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Synchronization of Coupled Neural Networks With Constant Time-Delay Using Sampled-Data Information

In this article, a synchronization control method is studied for coupled neural networks (CNNs) with constant time delay using sampled-data information. A distributed control protocol relying on the sampled-data information of neighboring nodes is proposed. Lyapunov functional is constructed to analyze the synchronization of CNNs with constant time delay. Using Park’s integral inequality and improved free-weight matrix integral inequality, sufficient conditions are provided for CNNs to achieve synchronization with less conservatism. In addition, the maximum sampling interval is determined by transforming the sufficient conditions into an optimization problem, and an aperiodic sampling control technique is implemented to reduce the communication energy load. Finally, numerical simulations are provided to demonstrate that the proposed method is capable of achieving synchronization.

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来源期刊

IEEE Transactions on Cybernetics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS

CiteScore

25.40

自引率

11.00%

发文量

1869

期刊介绍： The scope of the IEEE Transactions on Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or machine, human, and organizations. The scope includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, cognitive systems, decision making, and robotics, to the extent that they contribute to the theme of cybernetics or demonstrate an application of cybernetics principles.