Fast algorithms for solving IQC feasibility and optimization problems

被引：0
|
作者：
Kao, CY [1 ]
Megretski, A [1 ]
机构：
[1] MIT, Informat & Decis Syst Lab, Cambridge, MA 02139 USA
来源：
PROCEEDINGS OF THE 2001 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 2001年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We investigate two different type of algorithms which are potentially very efficient for feasibility/optimization problems arising in IQC analysis. Numerical example used to test those algorithms shows that they are much faster than the method conventionally used to solve IQC problems.
引用
收藏
页码：3019 / 3024
页数：6
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