Abstract This paper addresses the problem of fixed-time stabilization for a class of fuzzy neutral-type inertial neural networks (FNTINNs) with time-varying delay. By using a novel fixed-time stability theorem for dynamical systems, two different feedback control laws are designed to ensure the fixed-time stabilization of FNTINNs with time-varying delay. The proposed theoretical results can lead to a better upper settling-time estimation compared to existing results. Finally, three simulation examples are provided to illustrate the validity of the proposed theoretical results.

中文翻译：

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时变时滞模糊中性型惯性神经网络的定时镇定

摘要 本文解决了一类具有时变延迟的模糊中性型惯性神经网络（FNTINNs）的固定时间镇定问题。通过对动态系统使用新的固定时间稳定性定理，设计了两种不同的反馈控制律来确保具有时变延迟的 FNTINN 的固定时间稳定性。与现有结果相比，所提出的理论结果可以得到更好的上稳定时间估计。最后，提供了三个仿真例子来说明所提出的理论结果的有效性。