DocumentCode :
2565705
Title :
Computation of Zames-Falb multipliers revisited
Author :
Chang, Michael ; Mancera, Ricardo ; Safonov, Michael
Author_Institution :
Dept. of Electr. Eng. - (Syst.), Univ. of Southern California, Los Angeles, CA, USA
fYear :
2010
fDate :
15-17 Dec. 2010
Firstpage :
2438
Lastpage :
2443
Abstract :
The convex approach to the absolute stability problem is considered. Gapski and Geromel´s algorithm for computing Zames-Falb multipliers, used in determining stability, treats the problem as an optimization problem. It is found that their algorithm may terminate prematurely in some cases, failing to find the optimal multiplier. We propose an improvement that always finds an ascent direction and a multiplier that improves the objective function whenever one exists.
Keywords :
absolute stability; optimisation; Gapski-Geromel algorithm; Zames-Falb multipliers; absolute stability problem; objective function; optimization problem; Approximation algorithms; Approximation methods; Artificial neural networks; Optimization; Stability analysis; USA Councils; Zinc;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
ISSN :
0743-1546
Print_ISBN :
978-1-4244-7745-6
Type :
conf
DOI :
10.1109/CDC.2010.5717050
Filename :
5717050
Link To Document :
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