LMI approach to stability analysis of Cohen-Grossberg neural networks with \(p\)-Laplace diffusion

DOI10.1155/2012/523812zbMath1263.92006OpenAlexW1995483775WikidataQ58906058 ScholiaQ58906058MaRDI QIDQ1952877

Xiong Rui Wang, Shou-ming Zhong, Ruo-feng Rao

Publication date: 3 June 2013

Published in: Journal of Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/523812

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Neural networks for/in biological studies, artificial life and related topics (92B20) Applications of stochastic analysis (to PDEs, etc.) (60H30) Miscellaneous inequalities involving matrices (15A45)

Related Items (7)

Existence of exponential \(p\)-stability nonconstant equilibrium of Markovian jumping nonlinear diffusion equations via Ekeland variational principle ⋮ \(H_\infty\)-based pinning synchronization of general complex dynamical networks with coupling delays ⋮ LMI approach to exponential stability and almost sure exponential stability for stochastic fuzzy Markovian-jumping Cohen-Grossberg neural networks with nonlinear \(p\)-Laplace diffusion ⋮ Delay-dependent exponential stability for Markovian jumping stochastic Cohen-Grossberg neural networks with \(p\)-Laplace diffusion and partially known transition rates via a differential inequality ⋮ New stability criterion for Takagi-sugeno fuzzy Cohen-Grossberg neural networks with probabilistic time-varying delays ⋮ Exponential robust stability of T-S fuzzy stochastic \(p\)-Laplace PDEs under zero-boundary condition ⋮ Delay-dependent exponential stability for nonlinear reaction-diffusion uncertain Cohen-Grossberg neural networks with partially known transition rates via Hardy-Poincaré inequality

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