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Global Exponential Convergence of Fuzzy Cellular Neural Networks with Leakage Delays, Distributed Delays and Proportional Delays

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Abstract

In this paper, a class of fuzzy cellular neural networks (FCNNs) with leakage delays, distributed delays and proportional delays are considered. Using the differential inequality strategy, some sufficient criteria which ensure the global exponential convergence of the FCNNs with leakage delays, distributed delays and proportional delays are established. Numerical simulations are given to explain the obtained analytical results. The derived conclusions of this article are new and complement some earlier publications.

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Acknowledgements

This work is supported by National Natural Science Foundation of China (Nos. 61673008, 11261010) and Project of High-level Innovative Talents of Guizhou Province ([2016]5651).

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Authors and Affiliations

  1. Guizhou Key Laboratory of Economics System Simulation, Guizhou University of Finance and Economics, Guiyang, 550004, People’s Republic of China

    Changjin Xu

  2. School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang, 471023, People’s Republic of China

    Peiluan Li

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  1. Changjin Xu
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Correspondence to Changjin Xu.

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Xu, C., Li, P. Global Exponential Convergence of Fuzzy Cellular Neural Networks with Leakage Delays, Distributed Delays and Proportional Delays. Circuits Syst Signal Process 37, 163–177 (2018). https://doi.org/10.1007/s00034-017-0557-y

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  • DOI: https://doi.org/10.1007/s00034-017-0557-y

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