多元系统组件渐近稳定性的检验矩阵

O. Pastravanu, M. Matcovschi, M. Voicu
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摘要

“分量渐近稳定性”(简称CWAS)的概念最初是作为具有连续或离散时间动力学的单模型线性系统的一种特殊类型的稳定性而引入的。随后,将该框架扩大到包含区间不确定性的线性系统。对于这两类具有连续时间动力学的系统,前人的研究表明,利用“系统是CWAS”和“U的Perron-Frobenius特征值为负”这两个命题之间的等价性,可以建立一个本质非负矩阵,一般记为U,作为CWAS测试工具。本文将上述结果推广到具有任意多面体不确定性的线性系统的一般情况。考虑行表示理论和与多面体顶点相关的矩阵,构造了一组本质上非负的矩阵;CWAS检验原理依赖于具有(拥有)最大Peron-Frobenius特征值(即U角色的概化)的代表性矩阵(matrix)。以具有多面体不确定性的机械系统为例,说明了测试矩阵的构造及其在CWAS分析中的适用性。本文的重点是连续时间动力学,对应于传统的紧集上定义的微分方程的数学场景,但新的结果可以很容易地适用于离散时间动力学。
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Test Matrices for Componentwise Asymptotic Stability of Polytopic Systems
The concept of “componentwise asymptotic stability” (abbreviated CWAS) was initially introduced as a special type of stability for single-model linear systems, with continuous- or discrete-time dynamics. Subsequently, the framework was enlarged to encompass linear systems with interval-type uncertainties. For both these classes of systems with continuous-time dynamics, previous works show that an essentially-nonnegative matrix, generically denoted U, can be built as a CWAS testing instrument, which exploits the equivalence between the statements “system is CWAS” and “Perron-Frobenius eigenvalue of U is negative”. The current article extends the aforementioned result to the general case of linear systems with arbitrary polytopic uncertainties. A family of essentially nonnegative matrices is constructed by considering the row-representative theory and the matrices associated with the polytope's vertices; the CWAS testing principle relies on the representative matrices (matrix) that possess (possesses) the maximum Peron-Frobenius eigenvalue (meaning the generalization of U's role). An example based on the operation of a mechanical system with polytopic uncertainties illustrates the construction of the test matrix / matrices and the applicability in CWAS analysis. The paper focuses on continuous-time dynamics as corresponding to the traditional mathematical scenario of differential equations defined on compact sets, but the new result can be easily adapted to discrete-time dynamics.
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