This paper discusses problems arising in system and control theory to a few standard convex optimization problems involving linear matrix inequality (LMI).
本文研究了出现在系统与控制理论中的一些标准的、包含线性矩阵不等式的凸优化问题。
Many important problems of system and control theory can be reformulated as linear matrix inequality convex optimization problems, which is numerically tractable.
系统与控制理论中的许多问题，都可转化为线性矩阵不等式约束的凸优化问题，从而简化其求解过程。
The application of control theory has essentially two phases: dynamic analysis and control system design.
控制理论的应用有两个基本的阶段：动态分析和控制系统设计。
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