Convergence and attractivity of memristor-based cellular neural networks with time delays

DOI10.1016/j.neunet.2014.12.002zbMath1328.34056OpenAlexW2038047974WikidataQ50984901 ScholiaQ50984901MaRDI QIDQ889399

Jun Wang, Sitian Qin, Xiao-Ping Xue

Publication date: 6 November 2015

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2014.12.002

zbMATH Keywords

cellular neural networksattractivitypositive invariancefinite-time convergencememristor

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Growth, boundedness, comparison of solutions to functional-differential equations (34K12) Higher-order parabolic equations (35K25) Functional-differential inclusions (34K09)

Related Items (8)

Synchronized stationary distribution of hybrid stochastic coupled systems with applications to coupled oscillators and a Chua's circuits network ⋮ Region stability analysis and tracking control of memristive recurrent neural network ⋮ Existence and global exponential stability of periodic solution of memristor-based BAM neural networks with time-varying delays ⋮ Global exponential stability of periodic solution of delayed discontinuous Cohen-Grossberg neural networks and its applications ⋮ Dynamics of FCNNs with proportional delays and leakage delays ⋮ Global exponential convergence of fuzzy cellular neural networks with leakage delays, distributed delays and proportional delays ⋮ New proof on exponential convergence for cellular neural networks with time-varying delays ⋮ Joint influence of leakage delays and proportional delays on almost periodic solutions for FCNNs

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