Centralized and decentralized data-sampling principles for outer-synchronization of fractional-order neural networks
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Publication:2012817
DOI10.1155/2017/6290646zbMath1367.93356OpenAlexW2592953875WikidataQ59142931 ScholiaQ59142931MaRDI QIDQ2012817
Publication date: 3 August 2017
Published in: Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2017/6290646
Neural networks for/in biological studies, artificial life and related topics (92B20) Sampled-data control/observation systems (93C57) Fractional ordinary differential equations (34A08)
Related Items (4)
Adaptive control of Mittag-Leffler stabilization and synchronization for delayed fractional-order BAM neural networks ⋮ Outer-synchronization of fractional-order neural networks with deviating argument via centralized and decentralized data-sampling approaches ⋮ Global \(O(t^{-\alpha})\) synchronization of fractional-order non-autonomous neural network model with time delays through centralized data-sampling approach ⋮ Out lag synchronization of fractional order delayed complex networks with coupling delay via pinning control
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