Global synchronization for hybrid coupled neural networks with interval time-varying delays: A matrix-based quadratic convex approach

DOI10.1142/S1793557117500255zbMath1370.34101MaRDI QIDQ5355159

Kanit Mukdasai, Supreecha Wongaree, Narongsak Yotha, Thongchai Botmart

Publication date: 6 September 2017

Published in: Asian-European Journal of Mathematics (Search for Journal in Brave)

zbMATH Keywords

neural networksglobal synchronizationtime-varying delaysmatrix-based quadratic convex approach

Mathematics Subject Classification ID

Stability theory of functional-differential equations (34K20) Stability of solutions to ordinary differential equations (34D20) Stability theory for smooth dynamical systems (37C75)

Related Items (1)

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Cites Work

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• Cluster synchronization in an array of hybrid coupled neural networks with delay
• Synchronization criteria for coupled neural networks with interval time-varying delays and leakage delay
• New study on neural networks: the essential order of approximation
• Synchronization criteria for coupled stochastic neural networks with time-varying delays and leakage delay
• Global asymptotic stability analysis for delayed neural networks using a matrix-based quadratic convex approach
• Wirtinger-based integral inequality: application to time-delay systems
• Synchronization in chaotic systems
• Network-Based Synchronization of Delayed Neural Networks
• Stability of time-delay systems

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