DocumentCode :
1813070
Title :
Methods to check robust stability in the parameter space
Author :
Chang, B.-C. ; Li, X.P. ; Yeh, H.H. ; Banda, S.S.
Author_Institution :
Dept. of Mech. Eng. & Mech., Drexel Univ., Philadelphia, PA, USA
fYear :
1989
fDate :
13-15 Dec 1989
Firstpage :
1858
Abstract :
In the analysis and design of robust control systems, it is essential to check whether the closed-loop system is stable or not in a given perturbation area of the parameter space. Two methods for checking the robust stability in a perturbation domain of interest are considered. The first is the classical positivity checking approach based on the Routh-Hurwitz theorem and minima search, and the second is the polytopic polynomial approach with a dynamic perturbation domain dividing technique. Both approaches can be employed to compute the real-structured singular value or the real multivariable stability margin and to locate all unstable regions in a given perturbation domain
Keywords :
closed loop systems; control system analysis; control system synthesis; minimisation; multivariable control systems; search problems; stability criteria; Routh-Hurwitz theorem; closed-loop system; control system analysis; control system synthesis; minima search; parameter space; perturbation area; polytopic polynomial approach; positivity checking; real multivariable stability margin; real-structured singular value; robust stability; Contracts; Frequency; Iterative algorithms; Mechanical engineering; Partitioning algorithms; Polynomials; Robust control; Robust stability; Stability criteria;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
Conference_Location :
Tampa, FL
Type :
conf
DOI :
10.1109/CDC.1989.70479
Filename :
70479
Link To Document :
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