DocumentCode
846950
Title
Majorization: a computational complexity reduction technique in control system design
Author
Polak, Elijah ; Stimler, Daniel M.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Volume
33
Issue
11
fYear
1988
Firstpage
1010
Lastpage
1021
Abstract
A methodology is presented for transcribing worst-case control-system design specifications into semi-infinite inequalities of low computational complexity, which are tractable by semi-infinite programming algorithms. These algorithms can be used to find a design which satisfies specifications or to find a design which satisfies specifications and minimizes a cost. A computational example is given.<>
Keywords
computational complexity; control system CAD; computational complexity; control system CAD; majorisation; semi-infinite inequalities; semi-infinite programming algorithms; Aging; Algorithm design and analysis; Computational complexity; Control system synthesis; Control systems; Costs; Error correction; Frequency; Laboratories; Uncertainty;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.14413
Filename
14413
Link To Document