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Finite-Time Synchronization for Fuzzy Delayed Neutral-Type Inertial Bam Neural Networks Via the Figure Analysis Approach

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Abstract

This paper focuses on the finite-time synchronization for fuzzy delayed neutral-type inertial BAM neural networks. Without making the variable transformation, the inertial system was analyzed directly. By applying integral inequality techniques and the figure analysis approach, some novel criteria are achieved to assure the finite-time synchronization between the drive system and the response system. The inequalities used in our paper are different from these in the existing papers. The figure analysis approach used to research finite-time synchronization in our paper is a completely novel study approach.

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Authors and Affiliations

  1. School of Applied Mathematical Science, Xiamem University of Technology, Xiamen, 361024, China

    Zheng Zhou

  2. School of Mathematics, Hunan University, Changsha, 410082, China

    Zhengqiu Zhang & Mo Chen

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  1. Zheng Zhou
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  2. Zhengqiu Zhang
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  3. Mo Chen
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Correspondence to Zheng Zhou or Zhengqiu Zhang.

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Zhou, Z., Zhang, Z. & Chen, M. Finite-Time Synchronization for Fuzzy Delayed Neutral-Type Inertial Bam Neural Networks Via the Figure Analysis Approach. Int. J. Fuzzy Syst. 24, 229–246 (2022). https://doi.org/10.1007/s40815-021-01132-8

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  • DOI: https://doi.org/10.1007/s40815-021-01132-8

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