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SEMIDEFINITE APPROXIMATIONS OF THE POLYNOMIAL ABSCISSA

机译:多项式绝对的半次逼近

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摘要

Given a univariate polynomial, its abscissa is the maximum real part of its roots. The abscissa arises naturally when controlling linear differential equations. As a function of the polynomial coefficients, the abscissa is Holder continuous, and not locally Lipschitz in general, which is a source of numerical difficulties for designing and optimizing control laws. In this paper we propose simple approximations of the abscissa given by polynomials of fixed degree, and hence controlled complexity. Our approximations are computed by a hierarchy of finite-dimensional convex semidefinite programming problems. When their degree tends to infinity, the polynomial approximations converge in L-1 norm to the abscissa, either from above or from below.
机译:给定单变量多项式,其横坐标是其根的最大实部。控制线性微分方程时,自然会产生横坐标。作为多项式系数的函数,横坐标是Holder连续的,而不是一般的局部Lipschitz,这是设计和优化控制定律的数值难题的来源。在本文中,我们提出了由固定次数的多项式给出的横坐标的简单近似,从而控制了复杂度。我们的近似值是通过有限维凸半定规划问题的层次结构来计算的。当它们的阶数趋于无穷大时,多项式逼近可以从上方或从下方以L-1范数收敛到横坐标。

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