Stability analysis for impulsive stochastic fuzzy p-Laplace dynamic equations under Neumann or Dirichlet boundary condition-Reference-Cited by-同舟云学术

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

Published:2013-05-20 Issue:1 Volume:2013 Page:
ISSN:1687-2770
Container-title:Boundary Value Problems
language:en
Short-container-title:Bound Value Probl

Author:

Rao Ruofeng,Pu Zhilin

Publisher

Springer Science and Business Media LLC

Subject

Algebra and Number Theory,Analysis

Link

http://link.springer.com/content/pdf/10.1186/1687-2770-2013-133.pdf

Reference19 articles.

1. Rao, R, Zhong, S, Wang, X: Stochastic stability criteria with LMI conditions for Markovian jumping impulsive BAM neural networks with mode-dependent time-varying delays and nonlinear reaction-diffusion. Commun. Nonlinear Sci. Numer. Simul. (accepted on May 18, 2013)

2. Wang X, Rao R, Zhong S: LMI approach to stability analysis of Cohen-Grossberg neural networks with p -Laplace diffusion. J. Appl. Math. 2012., 2012: Article ID 523812

3. Zhang X, Wu S, Li K: Delay-dependent exponential stability for impulsive Cohen-Grossberg neural networks with time-varying delays and reaction-diffusion terms. Commun. Nonlinear Sci. Numer. Simul. 2011, 16: 1524–1532. 10.1016/j.cnsns.2010.06.023

4. Zhu Q, Li X: Exponential and almost sure exponential stability of stochastic fuzzy delayed Cohen-Grossberg neural networks. Fuzzy Sets Syst. 2012, 203: 74–94.

5. Li D, He D, Xu D: Mean square exponential stability of impulsive stochastic reaction-diffusion Cohen-Grossberg neural networks with delays. Math. Comput. Simul. 2012, 82(8):1531–1543. 10.1016/j.matcom.2011.11.007

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