Finite-Time Stability of Inertial Neural Networks with Delayed Impulses

被引：0
作者：
Xuran Wan
Lulu Li
Lei Wang
机构：
[1] Hefei University of Technology,School of Mathematics
[2] Hefei University,Department of Mathematics and Statistics
来源：
Neural Processing Letters | / 56卷
关键词：
Inertial neural networks (INNs); Delayed impulses; Finite-time stability (FTS); Settling-time; Optimization;
D O I：
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学科分类号：
摘要：
This paper studies the finite-time stability (FTS) of the inertial neural networks (INNs) with delayed impulses. Unlike previous related works, we consider the delayed impulses and propose a new impulsive control strategy. We extend the existing FTS results to the cases with delayed impulses. We also establish some global and local FTS criteria of INNs. Moreover, we estimate the settling-time in different cases and investigate the optimization strategy. We present three numerical examples to verify the validity of our theoretical results.
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