控制中的线性矩阵不等式

William S. Levine
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引用次数: 404

摘要

目的:线性矩阵不等式(lmi)已被证明是一种强大的工具,可以解决难以用分析方式解决的控制问题。lmi的历史可以追溯到40年代,它们在控制中的作用在60年代得到强调(卡尔曼,雅库博维奇,波波夫,威廉姆斯)。当代数值内点方法和半确定规划技术越来越强大,并允许以实际有效的方式求解lmi (Nesterov, Nemirovskii 1994)。有几个Matlab软件包允许对典型控制问题中出现的一般LMI问题进行简单编码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linear Matrix Inequalities in Control
Objective Linear matrix inequalities (LMIs) have proven to be a powerful tool to approach control problems that appear hard, if not impossible, to solve in an analytic fashion. The history of LMIs goes back to the forties and their role in control became emphasized in the sixties (Kalman, Yakubovich, Popov, Willems). Contemporary numerical interior-point methods and semi-definite programming techniques are increasingly powerful and allow solving LMIs in a practically efficient manner (Nesterov, Nemirovskii 1994). Several Matlab software packages are available that allow a simple coding of general LMI problems that arise in typical control problems.
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