耦合反应-扩散复值神经网络的非周期间歇同步和H∞同步

IF 2.5 3区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

European Journal of Control Pub Date : 2025-06-09 DOI:10.1016/j.ejcon.2025.101258

Yuqing Jia , Yanli Huang

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引用次数: 0

摘要

研究了具有状态耦合和空间扩散耦合的耦合反应-扩散复值神经网络（crdcvnn）的非周期性间歇同步问题和非周期性间歇H∞同步问题。首先，利用Lyapunov泛函和数学不等式技术，分析了具有状态耦合和空间扩散耦合的crdcvnn的非周期性间歇同步问题，并推导了这类网络的几个充分同步条件。其次，研究了具有状态耦合和空间扩散耦合的crdcvnn的非周期性间歇H∞同步问题，并建立了相应的判据。最后，通过两个算例的数值仿真，验证了所提策略的准确性和有效性。

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Aperiodically intermittent synchronization and H∞ synchronization of coupled reaction–diffusion complex-valued neural networks

In this paper, coupled reaction–diffusion complex-valued neural networks (CRDCVNNs) with state coupling and spatial diffusion coupling are investigated concerning their aperiodically intermittent synchronization and aperiodically intermittent

H_{\infty}

synchronization problems. Firstly, by employing the Lyapunov functional and mathematical inequality techniques, we analyze the aperiodically intermittent synchronization of CRDCVNNs with state coupling and spatial diffusion coupling, and derive several sufficient synchronization conditions for these types of networks. Secondly, the aperiodically intermittent

H_{\infty}

synchronization of CRDCVNNs with state coupling and spatial diffusion coupling is studied, and the corresponding criteria are established. At last, numerical simulations of two examples are conducted to verify the accuracy and effectiveness of the proposed strategy.

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来源期刊

European Journal of Control 工程技术-自动化与控制系统

CiteScore

5.80

自引率

5.90%

发文量

131

审稿时长

1 months

期刊介绍： The European Control Association (EUCA) has among its objectives to promote the development of the discipline. Apart from the European Control Conferences, the European Journal of Control is the Association''s main channel for the dissemination of important contributions in the field. The aim of the Journal is to publish high quality papers on the theory and practice of control and systems engineering. The scope of the Journal will be wide and cover all aspects of the discipline including methodologies, techniques and applications. Research in control and systems engineering is necessary to develop new concepts and tools which enhance our understanding and improve our ability to design and implement high performance control systems. Submitted papers should stress the practical motivations and relevance of their results. The design and implementation of a successful control system requires the use of a range of techniques: Modelling Robustness Analysis Identification Optimization Control Law Design Numerical analysis Fault Detection, and so on.