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Robust eigenvalue assignment in descriptor systems via output feedback

机译:通过输出反馈在描述符系统中鲁棒特征值分配

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Based on a recently proposed parametric approach for eigenstructure assignment in descriptor linear systems via output feedback, the robust eigenvalue asignment problem in descriptor linear systems via output feedback is solved. The problem aims to assign a set of finite closed-loop eigenvalues which have minimum sensitivities with respect to perturbations in the closed-loop coeffiicent matrices, while at the same time, guarantee the closed-loop regularity. The approach optimizes the design parameters existing in the closed-loop eigenvectors to achieve the minimum eigenvalue sensitivities, and use the extra degree of freedom existing in the solution of the gain matrix to furthe rminimize the magnitude of the gain matrix and enhance the robustness of the closed-loop regularity. The approach allows the finite closed-loop eigenvalues to be optimized within desired regions, and is demonstrated to be simple and effective.
机译:基于最近提出的参数方法,通过输出反馈通过输出反馈在描述符线性系统中的特征化方法,解决了通过输出反馈描述符线性系统中的鲁棒特征值问题。问题旨在为闭环系数矩阵中的扰动分配一组有限的闭环特征值,其在闭环系数矩阵中具有最小敏感性,而同时保证闭环规律性。该方法优化闭环特征向量中存在的设计参数,以实现最小的特征值灵敏度,并使用在增益矩阵的解决方案中存在的额外自由度来探测增益矩阵的大小并增强了鲁棒性闭环规律性。该方法允许在所需区域内优化有限的闭环特征值,并且被证明是简单有效的。

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