Adaptive synchronization for stochastic competitive neural networks with mixed time-varying delays
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Publication:450357
DOI10.1016/j.cnsns.2012.01.021zbMath1252.93118OpenAlexW2074154503MaRDI QIDQ450357
Qintao Gan, Yuhua Liang, Renxi Hu
Publication date: 13 September 2012
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.2012.01.021
adaptive control\(p\)-normexponential synchronizationmixed time-varying delaysstochastic competitive neural networks
Neural networks for/in biological studies, artificial life and related topics (92B20) Adaptive control/observation systems (93C40) Time-scale analysis and singular perturbations in control/observation systems (93C70) Stochastic systems in control theory (general) (93E03)
Related Items (10)
Global synchronization for a class of Markovian switching complex networks with mixed time-varying delays in the delay-partition approach ⋮ Mean square exponential synchronization for two classes of Markovian switching complex networks under feedback control from synchronization control cost viewpoint ⋮ Mean-square finite-time synchronization of stochastic competitive neural networks with Infinite time-varying delays and reaction-diffusion terms ⋮ Fixed-time synchronization of discontinuous competitive neural networks with time-varying delays ⋮ Saturation function-based continuous control on fixed-time synchronization of competitive neural networks ⋮ Finite-time quantized synchronization of coupled discontinuous competitive neural networks with proportional delay and impulsive effects ⋮ Exponential synchronization of delayed neutral-type neural networks with Lévy noise under non-Lipschitz condition ⋮ Adaptive exponential synchronization for stochastic competitive neural networks with time-varying leakage delays and reaction-diffusion terms ⋮ Adaptive synchronization for a class of cellular neural networks with pantograph delays ⋮ Finite-time synchronization of competitive neural networks with mixed delays
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