Title :
On avoiding vertexization of robustness problems: the approximate feasibility concept
Author :
Barmish, B. Ross ; Shcherbakov, Pavel S.
Author_Institution :
Electr. Eng. & Comput. Sci. Dept., Case Western Reserve Univ., Cleveland, OH, USA
fDate :
5/1/2002 12:00:00 AM
Abstract :
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∈Q if and only if it is satisfied at each vertex qi 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 paper 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
Keywords :
Monte Carlo methods; computational complexity; convex programming; feedback; robust control; Monte Carlo methods; approximate feasibility; approximate feasibility concept; computational complexity; convex optimization; performance specification; robustness analysis; robustness problems; uncertain parameter vector; Automatic control; Automatic programming; Automatic testing; Combinatorial mathematics; Computational complexity; Computer languages; Design optimization; Functional programming; Linear matrix inequalities; Robustness;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2002.1000280