Joint influence of leakage delays and proportional delays on almost periodic solutions for FCNNs

Authors

  • C. Xu Guizhou Key Laboratory of Economics System Simulation, Guizhou University of Finance and Economics, Guiyang, China
  • M. Liao School of Mathematics and Physics, University of South China, Hengyang, China
  • P. Li School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang, China
  • S. Yuan School of Mathematics and Statistics, Central South University, Changsha, China
  • Y. Guo School of Information Science and Engineering, Central South University, Changsha, China
Abstract:

This paper deals with fuzzy cellular neural networks (FCNNs) with leakage delays and proportional delays. Applying the differential inequality strategy, fixed point theorem and almost periodic function principle, some sufficient criteria which ensure the existence and global attractivity of a unique almost periodic solution for fuzzy cellular neuralnetworks with leakage delays and proportional delays are derived.Computer simulations are carried out to illustrate our theoreticalfindings. Our results are new and complement some previouspublished ones.

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Journal title

volume 17  issue 1

pages  141- 154

publication date 2020-02-01

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