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On Determining the Robust Pole Locations of Uncertain Systems: An LMI Approach

机译:确定不确定系统的鲁棒极点位置:LMI方法

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摘要

This paper addresses the problem of determining the robust pole locations of systems with structured uncertainties. Different from the researches using methods based on the LMI-region, the bound of the pole cluster around each nominal system pole is studied, which can provide more clear dynamic information of uncertain systems. Utilizing the matrix spectral radius property and the linear matrix inequality (LMI) method, the problem of determining the discs of equal radius which contain the pole clusters of the uncertain system is formulated as an LMI generalized eigenvalue problem (GEVP). An improved method is then proposed for obtaining a more accurate estimate of the individual discs containing each pole cluster using an LMI eigenvalue optimization approach. Finally, the problem of determining the perturbation bounds which ensure that the robust pole clusters remain within certain pre-specified discs is formulated as another LMI GEVP. The validity of the proposed approach is demonstrated by way of a numerical example.
机译:本文解决了确定具有结构不确定性的系统的鲁棒极点位置的问题。与使用基于LMI区域的方法进行的研究不同,研究了围绕每个标称系统极点的极点簇的边界,它可以为不确定系统提供更清晰的动态信息。利用矩阵谱半径属性和线性矩阵不等式(LMI)方法,将确定包含不确定系统极簇的等半径圆盘的问题称为LMI广义特征值问题(GEVP)。然后提出一种改进的方法,以使用LMI特征值优化方法获得包含每个磁极簇的单个光盘的更准确的估计。最后,将确定扰动范围(确保鲁棒极点簇保留在某些预先指定的圆盘内)的问题公式化为另一个LMI GEVP。通过数值例子证明了该方法的有效性。

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