Robust delay-dependent stability of uncertain inertied neural networks with impulsive effects and distributed-delay

• 作者: Huamin Wang Shengqiang Liu Tianhu Yu Yingjia Cui
• 来源期刊: 生物数学学报:英文版
• 学科: 社会科学
• 关键词: ROBUST EXPONENTIAL stability INERTIAL neural networks distributed-delay IMPULSIVE effects
• 年，卷（期）: 2019,（1）
• 页码范围: 233-253
• 页数: 21页
• 分类号: G

摘要

The robust stability problem of uncertain inertial neural networks with impulsive effects and distributed-delay is considered in the present paper.The average impulsive interval and differential inequality for delay differential equations are used to obtain the global exponential stability of the inertial neural networks.The robust distributed-delaydependent stability criteria here are proposed in terms of both linear matrix inequalities and algebraic inequalities.Our results can not only be used to obtain the stability of the uncertain inertial neural network with impulsive disturbance,but also be utilized to design the impulsive control for the uncertain inertial neural networks.The novel criteria complement and extend the previous works on uncertain inertial neural network with/without impulsive effects.Typical numerical examples are used to test the validity of the developed stability criteria finally.