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• W3195527627 abstract "This article mainly discusses the global exponential stabilization of a class of memristor-based neural networks (MNNs) with unbounded time-varying delays. In this article, a new approach without constructing any Lyapunov–Krasovskii functional is proposed to derive the global exponential stabilization criterion containing only a few simple inequalities. This approach is based on the representation of the system solution, which can derive simpler criteria than the existing approaches. In addition, this approach does not limit the range of unbounded time-varying delay derivative, which implies that the stabilization criterion obtained is weaker conservative. Finally, two numerical examples are employed to demonstrate the effectiveness of the method." @default.
• W3195527627 created "2021-08-30" @default.
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• W3195527627 date "2021-01-01" @default.
• W3195527627 modified "2023-10-17" @default.
• W3195527627 title "A Representation of System Solutions for Global Exponential Stabilization of Memristor-Based Neural Networks With Unbounded Time-Varying Delays" @default.
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• W3195527627 doi "https://doi.org/10.1109/access.2021.3105704" @default.
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