论文部分内容阅读
本文给出了一类泛函的优化方法.这类泛函包括反映系统鲁棒性和敏感性的目标函数.其优化是通过一R~(m×n)→R~(m×n)的映射来实现的.该映射将所有配置系统极点的反馈矩阵参数化为一自由矩阵变量的函数.
In this paper, a class of functional optimization methods are given, which include the objective function that reflects the robustness and sensitivity of the system, which is optimized by a R ~ (m × n) → R ~ (m × n) This mapping maps all the feedback matrices that configure the pole of the system as a function of a free matrix variable.