most citedRandom attractors of a stochastic Hopfield neural network model with delays

1 citations · 1 across the 11 of their papers we have counts for

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11 papers

math.AP2024

Hausdorff dimension of random attractors for a stochastic delayed parabolic equation in Banach spaces

Wenjie Hu, TomásCaraballo, Yueliang Duan

The main purpose of this paper is to give an upper bound of Hausdorff dimension of random attractors for a stochastic delayed parabolic equation in Banach spaces. The estimation of…

math.AP2024

Exponential attractors for a nonlocal delayed reaction-diffusion equation on an unbounded domain

Wenjie Hu, Tomás Caraballo

The main objective of this paper is to investigate exponential attractors for a nonlocal delayed reaction-diffusion equation on an unbounded domain. We first obtain the existence o…

math.AP2023

Existence and dimensions of global attractors for a delayed reaction-diffusion equation on an unbounded domain

Wenjie Hu, Tomás Caraballo, Alain Miranville

The purpose of this paper is to investigate the existence and Hausdorff dimension as well as fractal dimension of global attractors for a delayed reaction-diffusion equation on an…

math.DS2023

Exponential attractors with explicit fractal dimensions for retarded functional differential equations

Wenjie Hu, Tomás Caraballo

The aim of this paper is to propose a new method to construct exponential attractors for infinite dimensional dynamical systems in Banach spaces with explicit fractal dimension. Th…

math.DS2023

Lyapunov exponents and invariant manifolds for stochastic linear partial functional differential equations

Wenjie Hu, Tomás Caraballo

The main purpose of this work is to characterize the almost sure local structure stability of solutions to a class of linear stochastic partial functional differential equations (S…

math.DS2023

Topological dimensions of attractors for partial functional differential equations in Banach spaces

Wenjie Hu, Tomás Caraballo

The main objective of this paper is to obtain estimations of Hausdorff dimension as well as fractal dimension of global attractors and pullback attractors for both autonomous and n…

math.DS2023

Topological dimensions of global attractors for a delayed reaction-diffusion equation on an unbounded domain

Wenjie Hu, Tomás Caraballo

The purpose of this paper is to investigate the existence and estimation of Hausdorff and fractal dimension of global attractors for a delayed reaction-diffusion equation on an unb…

math.DS2023★ 1 cited

Random attractors of a stochastic Hopfield neural network model with delays

Wenjie Hu, Quanxin Zhu, Peter E. Kloeden

The global asymptotic behavior of a stochastic Hopfield neural network model (HNNM) with delays is explored by studying the existence and structure of random attractors. It is firs…

math.PR2023

Topological dimensions of random attractors for stochastic partial differential equations with delay

Wenjie Hu, Tomás Caraballo

The aim of this paper is to obtain an estimation of Hausdorff as well as fractal dimensions of random attractors for a class of stochastic partial differential equations with delay…

math.DS2023

Random attractors for a stochastic nonlocal delayed reaction-diffusion equation on a semi-infinite interval

Wenjie Hu, Quanxin Zhu, Tomás Caraballo

The aim of this paper is to prove the existence and qualitative property of random attractors for a stochastic nonlocal delayed reaction-diffusion equation (SNDRDE) on a semi-infin…

math.DS2023

Invariant manifolds for stochastic delayed partial differential equations of parabolic type

Wenjie Hu, Quanxin Zhu, Tomás Caraballo

The aim of this paper is to prove the existence and smoothness of stable and unstable invariant manifolds for a stochastic delayed partial differential equation of parabolic type.…