A new iteration scheme for robust performance problem: E-M iteration

C. Chang, C. Yang, C.E. Lin
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引用次数: 12

Abstract

In this paper, we show that the robust performance problem can be converted into an pure H/sub /spl infin// optimization problem via scaling the original system with an equivalent weighting function, E(s). A new algorithm, we call E-K iteration, is then proposed to solve for E(s) and the equivalent robust performance problem, simultaneously. Comparing with other algorithms such as /spl mu/-K iteration, our approach to achieve robust performance is less sensitive to computation accuracy. Under the condition of the same iteration times and of the same order of scaling functions, the present algorithm provides the optimal controller with the degree less than that obtained by D-K iteration.
鲁棒性能问题的一种新的迭代方案:E-M迭代
在本文中,我们证明了鲁棒性能问题可以转化为一个纯粹的H/sub /spl infin//优化问题,通过一个等效的加权函数E(s)对原系统进行缩放。然后,我们提出了一种新的算法,我们称之为E- k迭代,同时解决E(s)和等效鲁棒性能问题。与/spl mu/-K迭代等算法相比,我们实现鲁棒性能的方法对计算精度的敏感性较低。在迭代次数相同、标度函数阶数相同的条件下,该算法得到的最优控制器的阶数小于D-K迭代得到的最优控制器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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