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首页> 外文期刊>SIAM Journal on Control and Optimization >Stability robustness of retarded LTI systems with single delay and exhaustive determination of their imaginary spectra
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Stability robustness of retarded LTI systems with single delay and exhaustive determination of their imaginary spectra

机译:单延迟时滞LTI系统的稳定性鲁棒性及其虚构谱的确定

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In this paper we consider the stability robustness of the general class of vector LTI ( linear time invariant) equations with a single delay, x(t) = Ax(t) + Bx(t - tau), x is an element of R-n. The robustness is against the uncertain, but constant delay, tau is an element of R+. We first present a set of novel propositions and state that the solution must start from the complete knowledge of imaginary spectra of the system, and the corresponding delays. The propositions claim that such spectra form a set of manageably small number of members, and this number is upper bounded by n(2) regardless of the composition of A and B matrices. They also claim that the infinite-dimensional system at hand has an outstanding discipline regarding these imaginary spectra. This discipline invites the recently developed concept called the cluster treatment of characteristic roots (CTCR). The CTCR procedure requires a complete and precise determination of the imaginary spectra of the system. There are many procedures in the literature to achieve this. They are, in fact, some variations of the five main methods of different levels of precision and complexity. There is, however, no study known to the authors for presenting a comparison among these methods. This paper addresses this need. We first offer an overview of each of the five methods and then compare their numerical performances over an example case study.
机译:在本文中,我们考虑具有单个延迟的向量LTI(线性时不变)方程的一般类的稳定性鲁棒性,x(t)= Ax(t)+ Bx(t-tau),x是R-n的元素。鲁棒性与不确定但恒定的延迟相反,tau是R +的元素。首先,我们提出了一组新颖的命题,并指出解决方案必须从对系统虚频谱的全面了解以及相应的延迟开始。这些命题声称,这样的光谱形成了一组数目很少的成员,并且这个数目的上限是n(2),而与A和B矩阵的组成无关。他们还声称,关于这些虚构光谱,手边的无限维系统具有杰出的纪律。该学科邀请了最近发展的概念,即特征根的群集处理(CTCR)。 CTCR程序需要对系统的虚光谱进行完整而精确的确定。文献中有许多程序可以达到这一目的。实际上,它们是五个不同精度和复杂度的主要方法的一些变体。然而,作者们尚无关于在这些方法之间进行比较的研究。本文解决了这一需求。我们首先提供这五种方法的概述,然后在一个案例研究中比较它们的数值性能。

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