首页|基于非周期间歇控制的惯性神经网络同步/滞后同步

基于非周期间歇控制的惯性神经网络同步/滞后同步

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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.
Synchronization/Lag Synchronization of Inertial Neural Networks under Aperiodic Intermittent Control
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.

inertial neural networkssynchronization/lag synchronizationaperiodic intermittent control

于娟、惠姣姣

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新疆大学数学与系统科学学院,新疆乌鲁木齐 830017

塔里木大学信息工程学院,新疆阿拉尔 843300

惯性神经网络 同步/滞后同步 非周期间歇控制

National Natural Science Foundation of the People's Republic of China&&

6186603662263029

2024

新疆大学学报(自然科学版)(中英文)
新疆大学

新疆大学学报(自然科学版)(中英文)

CSTPCD
影响因子:0.13
ISSN:2096-7675
年,卷(期):2024.41(2)
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