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Biaffine Matrix Inequality Properties And Computational Methods

机译:Biaffine矩阵不等式的性质和计算方法

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Many robust control synthesis problems, including /spl mu/k/sub m/ thesis, have been shown to be reducible to the problem of finding a feasible point under a Biaffine Matrix Inequality (BMI) constraint. The paper discusses the related problem of minimizing the maximum eigenvalue of a biaffine combination of symmetric matrices, a biconvex, nonsmooth optimization problem. Various properties of the problem are examined and several local optimization approaches are presented, although the problem requires a global optimization approach in general.
机译:已显示许多鲁棒的控制综合问题,包括/ spl mu / k / sub m /论文,可简化为在Biaffine矩阵不等式(BMI)约束下找到可行点的问题。本文讨论了有关最小化对称矩阵的双仿射组合的最大特征值,双凸,非光滑优化问题的相关问题。尽管该问题通常需要全局优化方法,但仍研究了该问题的各种属性并提出了几种局部优化方法。

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