On avoiding vertexization of robustness problems: The approximate feasibility concept

被引:18
作者
Barmish, BR [1 ]
Shcherbakov, PS
机构
[1] Case Western Reserve Univ, Dept Elect Engn & Comp Sci, Cleveland, OH 44106 USA
[2] Inst Control Sci, Moscow 117806, Russia
基金
美国国家科学基金会;
关键词
computational complexity; convex optimization; Monte Carlo methods; robustness analysis and design;
D O I
10.1109/TAC.2002.1000280
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For a large class of robustness problems with uncertain parameter vector q confined to a box Q, there are many papers providing results along the following lines. The desired performance specification is robustly satisfied for all q epsilon Q if and only if it is satisfied at each vertex q(2) of Q. Since the number of vertices of Q explodes combinatorically with the dimension of q, the computation associated with the implementation of such results is often intractable. The main point of this note is to introduce a new approach to such problems aimed at alleviation of this computational complexity problem. To this end, the notion of approximate feasibility is introduced, and the theory which follows from this definition is vertex-free.
引用
收藏
页码:819 / 824
页数:6
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