具有时滞的八数值神经网络的有限时间稳定性

Jingzhuo Wang, Xiwei Liu
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引用次数: 1

摘要

本文采用两相法(2PM)和2范数方法研究了具有无界异步时滞的八元值神经网络(OVNNs)的有限时间稳定性。我们没有采用传统的分解方法,也没有假设时滞项是有界的,而是利用新的八元数符号函数,只根据系统的当前状态设计了只有两项的控制器,减少了计算和推理的冗余,使控制器在实际应用中更容易实现。此外,还实现了ovnn的自适应时域变换。最后给出了两个数值算例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Finite Time Stability of Octonion-Valued Neural Networks With Delays
In this paper, we study the finite time stability (FTS) of octonion-valued neural networks (OVNNs) with unbounded asynchronous time delays (UADs) by adopting two-phases-method (2PM) and 2-norm. Without employing traditional decomposition method or supposing the terms with delays are bounded, and utilizing a new sign function for octonion, we design the controller with only two terms only depending on the present system state, which can cut down redundancy in calculation and reasoning, and the controller would be much easier to realize in practical situations. Moreover, the adaptive FTS of OVNNs is also realized. Finally, two numerical examples are also given.
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