DocumentCode
2829132
Title
Frequency domain conditions via Linear Matrix Inequalities
Author
Graham, M.R. ; de Oliveira, M.C. ; de Callafon, R.A.
Author_Institution
Univ. of California San Diego, La Jolla
fYear
2007
fDate
12-14 Dec. 2007
Firstpage
5672
Lastpage
5677
Abstract
This paper revisits a pair of linear matrix inequalities (LMIs) that are related to checking a frequency domain inequality (FDI) over a finite interval. The first contribution is to show that the proposed pair of LMIs contain the original formulation of the Kalman-Yakubovich-Popov Lemma when the coefficient matrix is constant. The coefficient matrix can be made affine on the frequency variable at no extra computational cost. The second contribution is to show how to transform the frequency variable in order to extend the proposed results to infinite frequency intervals. In applications such as robustness analysis, allowing for frequency dependent coefficient matrices can be significant in reducing conservatism, a feature which is illustrated with a simple numerical example.
Keywords
frequency-domain analysis; linear matrix inequalities; Kalman-Yakubovich-Popov Lemma; coefficient matrix; frequency domain inequality; linear matrix inequalities; robustness analysis; Computational efficiency; Control theory; Fault detection; Frequency dependence; Frequency domain analysis; Linear matrix inequalities; NASA; Performance analysis; Robustness; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2007 46th IEEE Conference on
Conference_Location
New Orleans, LA
ISSN
0191-2216
Print_ISBN
978-1-4244-1497-0
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2007.4434854
Filename
4434854
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