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- W2768032929 abstract "In this paper, the exponential input-to-state stability (ISS) for complex-valued memristor-based bidirectional associative memory (BAM) neural networks with multiple time-varying delays is discussed. By constructing a novel Lyapunov functional and utilizing inequality techniques, a sufficient criterion of the exponential input-to-state stability for the considered system is firstly derived. Moreover, similar result is also obtained for delayed complex-valued BAM neural networks without memristors. Finally, two numerical examples are given to demonstrate the effectiveness of the obtained results." @default.
- W2768032929 created "2017-11-17" @default.
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- W2768032929 date "2018-01-01" @default.
- W2768032929 modified "2023-10-16" @default.
- W2768032929 title "Exponential input-to-state stability for complex-valued memristor-based BAM neural networks with multiple time-varying delays" @default.
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- W2768032929 doi "https://doi.org/10.1016/j.neucom.2017.10.038" @default.
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