Anti-periodic solutions for shunting inhibitory cellular neural networks with time-varying delays in leakage terms

  • Authors:

  • Lequn Peng;Wentao Wang

  • Affiliations:

  • College of Mathematics and Computer Science, Hunan University of Arts and Science, Changde, Hunan 415000, PR China;College of Mathematics, Physics and Information Engineering, Jiaxing University, Jiaxing, Zhejiang 314001, PR China

  • Venue:
  • Neurocomputing
  • Year:
  • 2013

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Abstract

This paper is concerned with the existence and exponential stability of anti-periodic solutions for shunting inhibitory cellular neural networks (SICNNs) with time-varying delays in the leakage terms. Some sufficient conditions are established to ensure that all solutions of the networks converge exponentially to the anti-periodic solution, which are new and complement of previously known results.