Exponential Synchronization of Stochastic Time-delayed Memristor-based Neural Networks via Pinning Impulsive Control

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

International Journal of Control Automation and Systems Pub Date : 2024-05-29 DOI:10.1007/s12555-022-1090-8

Yao Cui, Pei Cheng

引用次数: 0

Abstract

This paper investigates the exponential synchronization of stochastic time-delayed memristor-based neural networks(MBNNs) with using pinning impulsive control. Different from the traditional impulsive control schemes, a hybrid pinning impulsive control scheme is presented, and some sufficient conditions for exponential synchronization of system are established. Moreover, on the basis of the obtained results, the problem of delayed impulsive stabilization of stochastic time-delayed MBNN is studied. At last, an example is provided to demonstrate the validity of the obtained results.

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通过针刺脉冲控制实现基于随机延时记忆器的神经网络指数同步

本文研究了使用针刺脉冲控制的随机延时忆阻器神经网络（MBNN）的指数同步问题。与传统的脉冲控制方案不同，本文提出了一种混合针刺脉冲控制方案，并建立了系统指数同步的一些充分条件。此外，在所得结果的基础上，研究了随机时延 MBNN 的延迟脉冲稳定问题。最后，举例说明了所获结果的有效性。

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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来源期刊

International Journal of Control Automation and Systems 工程技术-自动化与控制系统

CiteScore

5.80

自引率

21.90%

发文量

343

审稿时长

8.7 months

期刊介绍： International Journal of Control, Automation and Systems is a joint publication of the Institute of Control, Robotics and Systems (ICROS) and the Korean Institute of Electrical Engineers (KIEE). The journal covers three closly-related research areas including control, automation, and systems. The technical areas include Control Theory Control Applications Robotics and Automation Intelligent and Information Systems The Journal addresses research areas focused on control, automation, and systems in electrical, mechanical, aerospace, chemical, and industrial engineering in order to create a strong synergy effect throughout the interdisciplinary research areas.