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

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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.
出处 《International Journal of Biomathematics》 SCIE 2019年第1期233-253,共21页 生物数学学报(英文版)
基金 National Natural Science Foundation of China(Nos.11771374,11471089,U1804158 and 61503175) Tackle key problem project in science and technology of Henan Province(Nos.172102210407 and 182102310955) the Program for Science & Technology Innovation Research Team in Universities of Henan Provience(No.18IRTSTHN014) Key scientific research projects in Henan colleges and universities(No.18A110026).
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