基于非约简方法的不连续模糊惯性神经网络定时投影同步

2022 14th International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2022-07-15 DOI:10.1109/icaci55529.2022.9837526

Yang Liu, Guodong Zhang

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引用次数: 0

摘要

研究了不连续模糊惯性神经网络(FINNs)的定时投影同步问题。提出了一类具有离散有界分布时变时滞的finn。在此基础上，采用非约简方法设计了有效的反馈控制方案。建立了FXTPS的充分条件。最后，通过数值算例验证了理论结果的有效性。

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Fixed-time Projective Synchronization For Discontinuous Fuzzy Inertial Neural Networks Via Non-reduced Method

In this paper, fixed-time projective synchronization (FXTPS) of discontinuous fuzzy inertial neural networks (FINNs) is explored. A class of FINNs with discrete and bounded distributed time-varying delays is proposed. Based on this model, a non-reduced approach is utilized to design an effective feedback control scheme. And sufficient conditions for FXTPS are established. Finally, a numerical example is used to verify the validity of the theoretical results obtained.

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2022 14th International Conference on Advanced Computational Intelligence (ICACI)

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