☆ 4.6 Article

Exponential stability of Cohen-Grossberg neural networks with multiple time-varying delays and distributed delays

AIMS MATHEMATICS (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Mathematics, Applied

Stability criteria for memristor-based delayed fractional-order Cohen-Grossberg neural networks with uncertainties

R. Vijay Aravind et al.

Summary: This paper investigates the ML stability analysis problem of memristor-based fractional-order Cohen-Grossberg neural networks with time delays and uncertainties. Sufficient conditions are derived based on fractional-order Lyapunov direct approach and differential inclusion theory, and expressed in terms of linear matrix inequalities. The validity and efficacy of the obtained theoretical results are demonstrated by numerical example and simulation results.

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS (2023)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Global exponential stability of neutral-type Cohen-Grossberg neural networks with multiple time-varying neutral and discrete delays

Zhongjie Zhang et al.

Summary: This paper studies the global exponential stability of neutral-type Cohen-Grossberg neural networks that have multiple time-varying discrete and neutral delays. A novel criterion is proposed to ensure the existence and uniqueness of equilibrium point, and a new Lyapunov-Krasovskii functional is constructed to achieve global exponential stability.

NEUROCOMPUTING (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Robust stability of fractional-order quaternion-valued neural networks with neutral delays and parameter uncertainties

Qiankun Song et al.

Summary: This study investigated the robust stability analysis of FOQVNNs with neutral delay and parameter uncertainties, deriving delay-independent and delay-dependent criteria using matrix inequality technique and Lyapunov method to guarantee the existence, uniqueness, and global stability of equilibrium point for FOQVNNs. Two simulation examples were provided to demonstrate the theoretical results.

NEUROCOMPUTING (2021)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

New results on dynamics of neutral type HCNNs with proportional delays

Yunke Deng et al.

Summary: This paper deals with the convergence problem of HCNNs involving neutral type time-proportional delays and D operators. Through the combination of Lyapunov function approach and differential inequality theory, novel assertions are established to check the global exponential convergence of the proposed model, forming the basis for devising a stable HCNNs and extending some known results. The outcomes of numerical simulations also show high consistency with the theoretical results.

MATHEMATICS AND COMPUTERS IN SIMULATION (2021)

添加到收藏夹

Article Mathematics, Applied

Exponential stability of Hopfield neural networks of neutral type with multiple time-varying delays

Li Wan et al.

Summary: This paper investigates the problem of exponential stability of Hopfield neural networks of neutral type with multiple time-varying delays. Novel sufficient conditions for the exponential stability are established using Lyapunov method and inequality techniques. The mathematical expression of the neutral-type system is more general and the established algebraic conditions are less conservative compared to some references.

AIMS MATHEMATICS (2021)

添加到收藏夹

Article Computer Science, Information Systems

Exponential Stability of Neutral-Type Cohen-Grossberg Neural Networks With Multiple Time-Varying Delays

Li Wan et al.

Summary: This paper addresses the exponential stability of a more general class of neutral-type Cohen-Grossberg neural networks, providing sufficient conditions to ensure the existence, uniqueness, and stability of the equilibrium point of the neural system. The conditions are easy to verify and guarantee global asymptotic stability, with two remarks indicating that they are less conservative than previous results. Two instructive examples are also given to demonstrate the effectiveness of the theoretical results and compare the stability conditions with previous findings.

IEEE ACCESS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Stability analysis of high order neural networks with proportional delays

Wenqi Shen et al.

NEUROCOMPUTING (2020)

添加到收藏夹

Article Mathematics, Applied

Synchronization of discrete-time recurrent neural networks with time-varying delays via quantized sliding mode control

Bo Sun et al.

APPLIED MATHEMATICS AND COMPUTATION (2020)

添加到收藏夹

Article Mathematics, Applied

Event-based sliding-mode synchronization of delayed memristive neural networks via continuous/periodic sampling algorithm

Yuxiao Wang et al.

APPLIED MATHEMATICS AND COMPUTATION (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Generalized norm for existence, uniqueness and stability of Hopfield neural networks with discrete and distributed delays

Huamin Wang et al.

NEURAL NETWORKS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A new Lyapunov functional for stability analysis of neutral-type Hopfield neural networks with multiple delays

Ozlem Faydasicok

NEURAL NETWORKS (2020)

添加到收藏夹

Article Computer Science, Information Systems

Stability Analysis of Neutral-Type Cohen-Grossberg Neural Networks With Multiple Time-Varying Delays

Li Wan et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Physics, Multidisciplinary

Periodic solutions for discrete-time Cohen-Grossberg neural networks with delays

Shang Gao et al.

PHYSICS LETTERS A (2019)

添加到收藏夹

Article Physics, Multidisciplinary

Dynamics of a class of cellular neural networks with time-varying delays

LH Huang et al.

PHYSICS LETTERS A (2005)

添加到收藏夹

Article Physics, Multidisciplinary

Global exponential stability and periodicity of cellular neural networks with variable delays

HY Zhao

PHYSICS LETTERS A (2005)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.