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
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;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.531406
