神经马尔可夫跳变系统的分布稳定性分析:一种延迟反馈控制方法

Xiaohang Li
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引用次数: 0

摘要

本文分析了一类具有非微分时滞和型扰动的神经马尔可夫跳变系统分布内稳定性的新思想。为了实现这一目标,提出了一种异步状态反馈控制器来简化设计。考虑到实际信号传输过程中总是存在延迟,因此重构了一种新的异步延迟反馈控制,使闭环系统满足两个前提条件。由此,通过三个步骤证明了闭环系统是分布稳定的。注意,所设计的控制器的边界不需要事先知道,这比现有的涉及延迟的控制器显示出优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In-distribution stability analysis for neural Markovian jump systems: A delay-feedback control method
In this paper, a new idea of in-distribution stability is analyzed for a class of neural Markovian jump systems with non- differential time-delays and type disturbance. To achieve such a goal, an asynchronous state-feedback controller is proposed to facilitate the design. Consider the fact that there always exist delays during practical signal transmissions, and therefore a new asynchronous delay-feedback control is reconstructed to render the closed-loop system to satisfy two preconditions. Whereupon, the closed-loop system is proved to be in-distribution stable through three steps. Note that the boundary of the designed controller does not need to be known in advance, which shows superiority over the existing delay-involved controllers.
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