DocumentCode
2263507
Title
On integral quadratic constraints for linear uncertainty
Author
Eszter, Edgardo G. ; Hollot, C.V.
Author_Institution
Dept. of Electr. & Comput. Eng., Massachusetts Univ., Amherst, MA, USA
Volume
3
fYear
1995
fDate
21-23 Jun 1995
Firstpage
2414
Abstract
This paper studies some of the consequences of modelling linear uncertainty with integral quadratic constraints. For such models we give necessary and sufficient conditions for robust stability and introduce the notion of a quantitative stability indicator. To illustrate, we give new examples of uncertainties that admit integral quadratic constraint descriptions
Keywords
Hermitian matrices; constraint theory; linear systems; stability; state-space methods; uncertain systems; Hermitian matrix; integral quadratic constraints; linear time invariant systems; linear uncertainty; quantitative stability indicator; robust stability; sufficient conditions; Algebra; Artificial intelligence; Ear; Hilbert space; Integral equations; Linearity; Robust stability; Sufficient conditions; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, Proceedings of the 1995
Conference_Location
Seattle, WA
Print_ISBN
0-7803-2445-5
Type
conf
DOI
10.1109/ACC.1995.531406
Filename
531406
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