Stability conditions for Cohen-Grossberg neural networks with time-varying delays

DOI10.1016/J.PHYSLETA.2007.11.035zbMath1220.93064OpenAlexW2071479697MaRDI QIDQ637277

Yeong-Jay Chung, Long-Yeu Chung, Chang-Hua Lien, Ker-Wei Yu, Yen-Feng Lin

Publication date: 2 September 2011

Published in: Physics Letters. A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physleta.2007.11.035

zbMATH Keywords

global asymptotic stabilityLMI approachtime-varying delaysCohen-Grossberg neural networks

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Asymptotic stability in control theory (93D20)

Related Items (4)

Novel stability criteria of Cohen–Grossberg neural networks with time‐varying delays ⋮ Robust stability analysis for Markovian jumping interval neural networks with discrete and distributed time-varying delays ⋮ New stability criteria for neutral-type Cohen–Grossberg neural networks with discrete and distributed delays ⋮ Convergence analysis for second-order interval Cohen-Grossberg neural networks

Cites Work

• Introduction to functional differential equations
• Delay-independent stability analysis of Cohen-Grossberg neural networks
• Global asymptotic stability of delayed Cohen-Grossberg neural networks
• Global asymptotic stability of Cohen-Grossberg neural networks with constant and variable delays
• Global exponential stability of Cohen-Grossberg neural networks with time-varying delays
• Stability in delayed Cohen-Grossberg neural networks: LMI optimization approach
• Absolute stability of global pattern formation and parallel memory storage by competitive neural networks
• Linear Matrix Inequalities in System and Control Theory

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