LMI Approach to Stability Analysis of Cohen-Grossberg Neural Networks withp-Laplace Diffusion
Author:
Affiliation:
1. Department of Mathematics, Yibin University, Yibin 644007, China
2. Institute of Mathematics, Yibin University, Yibin 644007, China
3. College of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu 610054, China
Abstract
Funder
National Basic Research Program of China
Publisher
Hindawi Limited
Subject
Applied Mathematics
Link
http://downloads.hindawi.com/journals/jam/2012/523812.pdf
Reference22 articles.
1. Absolute Stability of Global Pattern Formation and Parallel Memory Storage by Competitive Neural Networks
2. An analysis of global asymptotic stability of delayed Cohen-Grossberg neural networks via nonsmooth analysis
3. Global stability analysis of Cohen–Grossberg neural networks with time varying delays
4. Global exponential stability of Cohen–Grossberg neural networks with variable delays
5. Delay-dependent exponential stability for impulsive Cohen–Grossberg neural networks with time-varying delays and reaction–diffusion terms
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2. New Stability Criterion for Takagi-Sugeno Fuzzy Cohen-Grossberg Neural Networks with Probabilistic Time-Varying Delays;Mathematical Problems in Engineering;2017
3. Existence of Exponentialp-Stability Nonconstant Equilibrium of Markovian Jumping Nonlinear Diffusion Equations via Ekeland Variational Principle;Advances in Mathematical Physics;2015
4. Delay-Dependent exponential stability for nonlinear reaction-diffusion uncertain Cohen-Grossberg neural networks with partially known transition rates via Hardy-Poincaré inequality;Chinese Annals of Mathematics, Series B;2014-07-05
5. Exponential robust stability of T-S fuzzy stochastic p-Laplace PDEs under zero-boundary condition;Boundary Value Problems;2013-12
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