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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进行稳健的特征值分配

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摘要

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:基于最近提出的用于通过输出反馈描述线性系统中特征结构的参数方法,解决了通过输出反馈描述线性系统中的鲁棒特征值分配问题。该问题旨在分配一组有限的闭环特征值,这些特征值对闭环系数矩阵中的扰动具有最小的敏感性,同时确保闭环规则性。该方法优化了闭环特征向量中存在的设计参数,以实现最小特征值灵敏度,并利用增益矩阵解中存在的额外自由度进一步最小化增益矩阵的幅度,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,并被证明是简单有效的。

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