Title :
Computation of Zames-Falb Multipliers Revisited
Author :
Chang, Michael ; Mancera, Ricardo ; Safonov, Michael
Author_Institution :
Dept. of Electr. Engi neering, Univ. of Southern California, Los Angeles, CA, USA
fDate :
4/1/2012 12:00:00 AM
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; convex programming; nonlinear control systems; Gapski and Geromel algorithm; Zames-Falb multipliers; absolute stability problem; ascent direction; convex approach; objective function; optimal multiplier; Approximation algorithms; Approximation methods; Stability criteria; Thermal stability; Transfer functions; Zinc; Absolute stability; Zames–Falb; stability of NL systems;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2011.2169623