Title :
Necessary and sufficient conditions of quadratic stability of uncertain linear systems
Author :
Gu, Keqin ; Zohdy, M.A. ; Loh, Nan K.
Author_Institution :
Sch. of Eng. & Comput. Sci., Oakland Univ., Rochester, MI, USA
fDate :
5/1/1990 12:00:00 AM
Abstract :
The stability of linear systems subject to possibly fast time-varying uncertainties is analyzed. A necessary and sufficient condition of 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; time-varying systems; convex hyperpolyhedron; necessary conditions; optimization; quadratic stability; sufficient conditions; time-varying uncertainties; uncertain linear systems; Control systems; Feedback control; Linear systems; Robotics and automation; Stability criteria; Sufficient conditions; Symmetric matrices; Time varying systems; Uncertain systems; Uncertainty;
Journal_Title :
Automatic Control, IEEE Transactions on