Title :
Necessary and sufficient conditions of quadratic stability of uncertain linear systems
Author :
Gu, Keqin ; Zohdy, M.A. ; Loh, Nan K.
Author_Institution :
Center for Robotics & Adv. Autom., Oakland Univ., Rochester, MI, USA
Abstract :
The stability of linear systems subject to possibly fast time-varying uncertainties is analyzed. A necessary and sufficient condition for quadratic stability is derived. An uncertainty stability margin coefficient ρ is introduced to give a quantitative measure of the stability. It is proposed that the uncertain region be approximated by a convex hyperpolyhedron. In this case, the computation of ρ becomes a two-level optimization problem, in which the extremum of the inner level can be reached by one of the corners of the hyperpolyhedron
Keywords :
linear systems; optimisation; stability; linear systems; quadratic stability; two-level optimization; uncertain systems; uncertainty stability margin coefficient; Feedback control; Linear systems; Robotics and automation; Stability analysis; Stability criteria; Sufficient conditions; Symmetric matrices; Time varying systems; Uncertain systems; Uncertainty;
Conference_Titel :
Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
Conference_Location :
Tampa, FL
DOI :
10.1109/CDC.1989.70157