Abstract
In this paper, we are concerned with the robust multistability and multiperiodicity of delayed neural networks. A set of sufficient conditions ensuring the coexistence of 2n periodic solutions and their local stability are presented. And the attraction basin of each periodic solution can be enlarged by rigorous analysis.
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© 2015 Springer International Publishing Switzerland
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Wang, L. (2015). Robust Multistability and Multiperiodicity of Neural Networks with Time Delays. In: Hu, X., Xia, Y., Zhang, Y., Zhao, D. (eds) Advances in Neural Networks – ISNN 2015. ISNN 2015. Lecture Notes in Computer Science(), vol 9377. Springer, Cham. https://doi.org/10.1007/978-3-319-25393-0_17
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DOI: https://doi.org/10.1007/978-3-319-25393-0_17
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-25393-0
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