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Stability analysis for impulsive stochastic fuzzy p-Laplace dynamic equations under Neumann or Dirichlet boundary condition

机译:Neumann或Dirichlet边界条件下脉冲随机模糊p-Laplace动力方程的稳定性分析

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摘要

Under Neumann or Dirichlet boundary conditions, the stability of a class of delayed impulsive Markovian jumping stochastic fuzzy p-Laplace partial differential equations (PDEs) is considered. Thanks to some methods different from those of previous literature, the difficulties brought by fuzzy stochastic mathematical model and impulsive model have been overcome. By way of the Lyapunov-Krasovskii functional, It? formula, Dynkin formula and a differential inequality, new LMI-based global stochastic exponential stability criteria for the above-mentioned PDEs are established. Some applications of the obtained results improve some existing results on neural networks. And some numerical examples are presented to illustrate the effectiveness of the proposed method due to the significant improvement in the allowable upper bounds of time delays. MSC: 34D20, 34D23, 34B45, 34B37, 34K20.
机译:在Neumann或Dirichlet边界条件下,考虑了一类时滞脉冲马尔可夫跳跃随机模糊p-Laplace偏微分方程(PDE)的稳定性。由于采用了不同于以往文献的方法,克服了模糊随机数学模型和脉冲模型带来的困难。通过Lyapunov-Krasovskii功能,它吗?公式,Dynkin公式和微分不等式,为上述PDE建立了基于LMI的新的全局随机指数稳定性准则。所得结果的一些应用改进了神经网络上已有的一些结果。并给出了一些数值示例,以说明所提出方法的有效性,这是由于可允许的时延上限明显改善。 MSC:34D20、34D23、34B45、34B37、34K20。

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