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An algorithm for the spectral factorization of unimodular para-hermitian polynomial matrices in continuous time

机译:连续时间内单模型副 - 厄米多项式矩阵的谱分解算法

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摘要

In this paper, we address an algorithm for the spectral factorization of para-Hermitian unimodular polynomial matrices in the continuous time case. Most of the algorithms for the spectral factorizations of matrix polynomials depend on the existence of the roots of given polynomial matrices, so it is almost impossible to execute the spectral factorization of unimodular polynomial matrices. In this paper, we provide a new algorithm for the spectral factorization of unimodular polynomial matrices without the existence of the roots of polynomial matrices or the stability. The task one has to do is only to solve a linear matrix inequality consisting of the coefficients of a given unimodular matrix, which can be achieved easily by the use of numerical computation packages. The algorithmwe present here is based on the property of the storage functions for the dissipative systems in which there always exists positive dissipated energy for the environment. This implies that the fundamental property in our algorithm is also a self-standing interesting result with respect to theoretical points of view. Finally, in order to show the validity of our results, we give an illustrative example with respect to numerical aspects.
机译:在本文中,我们解决了连续时间情况下准Hermitian单模多项式矩阵的谱分解的算法。矩阵多项式频谱分解的大多数算法都取决于给定多项式矩阵的根的存在,因此几乎不可能执行单模多项式矩阵的频谱分解。在本文中,我们为单模多项式矩阵的谱分解提供了一种新算法,该算法无需存在多项式矩阵的根或稳定性。要做的任务只是解决由给定单模矩阵的系数组成的线性矩阵不等式,这可以通过使用数值计算程序包轻松实现。我们在此提出的算法基于耗散系统的存储函数的属性,在耗散系统中,环境始终存在正耗散能量。这意味着从理论角度来看,我们算法的基本属性也是一个自立的有趣结果。最后,为了证明我们的结果的有效性,我们就数值方面给出了一个说明性的例子。

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