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Robust Multistability and Multiperiodicity of Neural Networks with Time Delays

  • Lili Wang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9377)

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.

Keywords

Neural networks periodic solution multistability multiperiodicity robust stability 

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Copyright information

© Springer International Publishing Switzerland 2015

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Authors and Affiliations

  1. 1.School of MathematicsShanghai University of Finance and EconomicsShanghaiP.R. China

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