Robust Multistability and Multiperiodicity of Neural Networks with Time Delays

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


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.


Neural networks periodic solution multistability multiperiodicity robust stability 


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© 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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