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Fixed-time control of static impulsive neural networks with infinite distributed delay and uncertainty

机译:具有无限分布延迟和不确定性的静态脉冲神经网络的固定时间控制

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摘要

This paper is concerned with the fixed-time stability of delayed static neural networks, where the effects of uncertainty, impulsive disturbances and infinite distributed delay are fully considered. By using Lyapunov function, fixed-time stability theorem of impulsive dynamical systems and linear matrix inequalities (LMIs), two novel controllers are designed to ensure the fixed-time stability of the addressed system. Finally, two numerical simulations are given to illustrate the validity of the theoretical analysis. (C) 2019 Elsevier B.V. All rights reserved.
机译:本文关注的是时滞静态神经网络的固定时间稳定性,其中充分考虑了不确定性,脉冲干扰和无​​限分布延迟的影响。通过使用Lyapunov函数,脉冲动力系统的固定时间稳定性定理和线性矩阵不等式(LMI),设计了两种新颖的控制器来确保所寻址系统的固定时间稳定性。最后,通过两个数值模拟来说明理论分析的有效性。 (C)2019 Elsevier B.V.保留所有权利。

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