Convergence analysis for second-order interval Cohen-Grossberg neural networks

DOI10.1016/j.cnsns.2014.01.008OpenAlexW1976558923MaRDI QIDQ2300187

Xin Shi, Jingxue Xu, Sitian Qin

Publication date: 27 February 2020

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cnsns.2014.01.008

zbMATH Keywords

global robust stabilityLyapunov functional methodhomomorphic mapping theoremsecond-order interval Cohen-Grossberg neural networks

Mathematics Subject Classification ID

Dynamical systems and ergodic theory (37-XX) Ordinary differential equations (34-XX)

Related Items (2)

Periodic solutions for stochastic Cohen-Grossberg neural networks with time-varying delays ⋮ Attractor Analysis of Cohen–Grossberg Neural Networks with Multiple Time-Varying Delays

Cites Work

• Further analysis of global robust stability of neural networks with multiple time delays
• Equilibrium and stability analysis of delayed neural networks under parameter uncertainties
• New global exponential stability result to a general Cohen-Grossberg neural networks with multiple delays
• Robust stability analysis of a class of neural networks with discrete time delays
• Multistability analysis for a general class of delayed Cohen-Grossberg neural networks
• Robust stability of delayed fuzzy Cohen-Grossberg neural networks
• Stability conditions for Cohen-Grossberg neural networks with time-varying delays
• Stability analysis on Cohen-Grossberg neural networks with both time-varying and continuously distributed delays
• Modified criteria for global robust stability of interval delayed neural networks
• Robust stability analysis of interval fuzzy Cohen-Grossberg neural networks with piecewise constant argument of generalized type
• A novel delay-dependent criterion for delayed neural networks of neutral type
• Absolute stability of global pattern formation and parallel memory storage by competitive neural networks
• Global Asymptotic Stability and Robust Stability of a Class of Cohen–Grossberg Neural Networks With Mixed Delays

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