基于非周期间歇控制的惯性神经网络同步/滞后同步（英文）

于娟; 惠姣姣

doi:10.13568/j.cnki.651094.651316.2023.09.11.0002

您当前的位置：

首页 >

文章列表页 >

基于非周期间歇控制的惯性神经网络同步/滞后同步（英文）

数理科学 | 更新时间：2026-01-21

- 基于非周期间歇控制的惯性神经网络同步/滞后同步（英文）
- 基于非周期间歇控制的惯性神经网络同步/滞后同步（英文）
- 新疆大学学报（自然科学版中英文） 2024年41卷第2期页码：171-180
- 作者机构：
  
  1. 新疆大学数学与系统科学学院
  2. 塔里木大学信息工程学院
- 作者简介：
- 基金信息：
  
  supported by the National Natural Science Foundation of the People’s Republic of China“Dynamic characteristics and synchronization control of inertial neural network models based on non-reduced order method”(61866036),“Synchronization control and topology identification within fixed time and preassigned time of multilayer complex network”(62263029)
- DOI：10.13568/j.cnki.651094.651316.2023.09.11.0002
  中图分类号： TP13;TP183
- 纸质出版：2024
- 稿件说明：
移动端阅览
[1]于娟,惠姣姣.基于非周期间歇控制的惯性神经网络同步/滞后同步（英文）[J].新疆大学学报(自然科学版)(中英文),2024,41(02):171-180.
[1]于娟,惠姣姣.基于非周期间歇控制的惯性神经网络同步/滞后同步（英文）[J].新疆大学学报(自然科学版)(中英文),2024,41(02):171-180. DOI： 10.13568/j.cnki.651094.651316.2023.09.11.0002.

DOI：10.13568/j.cnki.651094.651316.2023.09.11.0002.

摘要

主要研究了惯性神经网络在非周期间歇控制下的同步/滞后同步问题.基于非降阶方法

利用Lyapunov方法、微分不等式技巧等

得出了在非周期间歇控制下惯性神经网络同步/滞后同步的充分判据

这种方法在实际应用中更具有可行性.最后

通过数值仿真验证理论结果的可行性.

Abstract

The synchronization and lag synchronization of delay inertial neural networks under aperiodic intermittent control are considered. Based on the non-reduced order method

the Lyapunov functional method and inequality technique are used to obtain the sufficient criterion for the synchronization/lag synchronization of inertial neural networks under aperiodic intermittent control

which is more feasible in practical applications. Finally

the feasibility of the theoretical results is verified by numerical simulation.

关键词

Keywords

references

ARIK S.Stability analysis of delayed neural networks[J].IEEE Transactions on Circuits and Systems I:Fundamental Theory and Applications,2000,47(7):1089-1092.

BABCOCK K L,WESTERVELT R M.Dynamics of simple electronic neural networks[J].Physica D,1987,28(3):305-316.

YU J,HU C,JIANG H J,et al.Exponential and adaptive synchronization of inertial complex-valued neural networks:A non-reduced order and non-separation approach[J].Neural Networks,2020,124:50-59.

WANG L Y,HUANG T W,XIAO Q.Lagrange stability of delayed switched inertial neural networks[J].Neurocomputing,2020,381:52-60.

LONG C Q,ZHANG G D,ZENG Z G,et al.Finite-time stabilization of complex-valued neural networks with proportional delays and inertial terms:A non-separation approach[J].Neural Networks,2022,148:86-95.

WANG J L,ZHANG X,WANG X,et al.L2-L∞state estimation of the high-order inertial neural network with time-varying delay:Non-reduced order strategy[J].Information Sciences,2022,607:62-78.

LIU Y,ZHANG G D,HU J H.Fixed-time stabilization and synchronization for fuzzy inertial neural networks with bounded distributed delays and discontinuous activation functions[J].Neurocomputing,2022,495:86-96.

HAN J,CHEN G C,HU J H.New results on anti-synchronization in predefined-time for a class of fuzzy inertial neural networks with mixed time delays[J].Neurocomputing,2022,495:26-36.

HAN S Y,HU C,YU J,et al.Stabilization of inertial Cohen-Grossberg neural networks with generalized delays:A direct analysis approach[J].Chaos,Solitons&Fractals,2021,142:110432.

WHEELER D W,SCHIEVE W C.Stability and chaos in an inertial two-neuron system[J].Physica D,1997,105(4):267-284.

YAO W,WANG C H,SUN Y C,et al.Synchronization of inertial memristive neural networks with time-varying delays via static or dynamic event-triggered control[J].Neurocomputing,2020,404:367-380.

ZHANG Y K,ZHOU L Q.Stabilization and lag synchronization of proportional delayed impulsive complex-valued inertial neural networks[J].Neurocomputing,2022,507:428-440.

WANG L M,ZENG K,HU C,et al.Multiple finite-time synchronization of delayed inertial neural networks via a unified control scheme[J].Knowledge-Based Systems,2022,236:107785.

LI X Y,LI X T,HU C.Some new results on stability and synchronization for delayed inertial neural networks based on non-reduced order method[J].Neural Networks,2017,96:91-100.

YANG C P,XIONG Z L,YANG T Q.Finite-time synchronization of coupled inertial memristive neural networks with mixed delays via nonlinear feedback control[J].Neural Processing Letters,2020,51(2):1921-1938.

YU Y N,ZHANG Z Y,ZHONG M Y,et al.Pinning synchronization and adaptive synchronization of complex-valued inertial neural networks with time-varying delays in fixed-time interval[J].Journal of the Franklin Institute,2022,359(2):1434-1456.

FU Q H,ZHONG S M,SHI K B.Exponential synchronization of memristive neural networks with inertial and nonlinear coupling terms:Pinning impulsive control approaches[J].Applied Mathematics and Computation,2021,402:126169.

DHARANI S,RAKKIYAPPAN R,PARK J H.Pinning sampled-data synchronization of coupled inertial neural networks with reaction-diffusion terms and time-varying delays[J].Neurocomputing,2017,227:101-107.

WAN P,SUN D H,CHEN D,et al.Exponential synchronization of inertial reaction-diffusion coupled neural networks with proportional delay via periodically intermittent control[J].Neurocomputing,2019,356:195-205.

CHEN S S,JIANG H J,HU C,et al.Pinning exponential synchronization for inertial coupled neural networks via adaptive aperiodically intermittent control under directed topology[J].Journal of the Franklin Institute,2022,359(2):1112-1143.

HUI J J,YU J.Exponential synchronization of complex-valued inertial neural networks based on aperiodically intermittent control[J].Journal of Xinjiang University(Natural Science Edition in Chinese and English),2022,39(2):151-160.

TANG Q,JIAN J G.Exponential synchronization of inertial neural networks with mixed time-varying delays via periodically intermittent control[J].Neurocomputing,2019,338:181-190.

WANG J Y,WANG Z S,CHEN X Y,et al.Synchronization criteria of delayed inertial neural networks with generally Markovian jumping[J].Neural Networks,2021,139:64-76.

LIU X W,CHEN T P.Synchronization of linearly coupled networks with delays via aperiodically intermittent pinning control[J].IEEE Transactions on Neural Networks and Learning Systems,2015,26(10):2396-2407.

LIU D,YE D.Exponential stabilization of delayed inertial memristive neural networks via aperiodically intermittent control strategy[J].IEEE Transactions on Systems,Man,and Cybernetics:Systems,2022,52(1):448-458.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于非周期间歇控制的复值惯性神经网络指数同步