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On the robust asymptotical stability of uncertain complex matrices over the complex unit circumference

机译:关于复数单位圆周上不确定复数矩阵的鲁棒渐近稳定性

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This paper addresses the problem of establishing whether a complex matrix depending polynomially on a scalar parameter and its conjugate constrained over the complex unit circumference is robustly asymptotically stable in either the continuous-time case or the discrete-time case. A necessary and sufficient condition is proposed in terms of a linear matrix inequality (LMI) feasibility test based on complex Lyapunov functions depending polynomially on the uncertainty. Specifically, the condition is sufficient for any arbitrarily chosen degree of the Lyapunov function. Moreover, the condition is also necessary for a sufficiently large degree of the Lyapunov function, and an upper bound on the minimum degree required for achieving necessity is also provided. Some numerical examples illustrate the proposed results.
机译:本文解决了以下问题:确定在连续时间或离散时间情况下,多项式取决于标量参数及其约束在复数单位圆周上的共轭是否鲁棒地渐近稳定。根据基于不确定性的多项式Lyapunov函数的线性矩阵不等式(LMI)可行性测试,提出了一个充要条件。具体而言,该条件对于任何任意选择的李雅普诺夫函数度都是足够的。此外,该条件对于充分大程度的李雅普诺夫函数也是必要的,并且还提供了实现必要性所需的最小程度的上限。一些数值示例说明了建议的结果。

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