Nonlinear programming approach to biaffine matrix inequality problems in multiobjective and structured control

J. Lee
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引用次数: 10

Abstract

Some nonlinear minimization problems are proposed for obtaining a solution of the biaffine matrix inequality (BMI) problem. An algorithm is also proposed for solving the nonlinear minimization problems. The algorithm can be easily implemented with the existing convex optimization codes. This nonlinear programming approach can be applied to all multiobjective and structured control problems such as the simultaneous stabilization by static or dynamic output feedback, the mixed H/sub 2//H/sub /spl infin// control, and the decentralized control which can be reduced to BMI problems. The effectiveness is illustrated by numerical examples.
多目标结构控制中双仿矩阵不等式问题的非线性规划方法
针对双仿矩阵不等式(BMI)问题的求解,提出了若干非线性最小化问题。提出了一种求解非线性最小化问题的算法。该算法可以很容易地用现有的凸优化代码实现。这种非线性规划方法可以应用于所有的多目标和结构化控制问题,如静态或动态输出反馈的同时镇定问题、混合H/sub //H/sub /spl / infin//控制以及可简化为BMI问题的分散控制。数值算例说明了该方法的有效性。
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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