Title :
Robustness analysis of LTI systems with structured incrementally sector bounded nonlinearities
Author :
Chen, Xin ; Wen, John T.
Author_Institution :
Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Abstract :
This paper addresses the stability analysis of a negative feedback interconnection of a multivariable linear time-invariant system and a structured time-invariant incrementally sector bounded nonlinearity. The classic Zames-Falb multiplier (1968) is extended to the multivariable case and is approximated arbitrarily closely by linear matrix inequalities. The problem of finding the multiplier that provides the largest stability bound then becomes a convex optimization problem over state space parameters. The method is also applied to symmetric incrementally sector bounded structured nonlinearities and provides an upper bound for the generalized structured singular value. Numerical examples are provided to demonstrate the effectiveness of this method
Keywords :
control nonlinearities; control system analysis; convex programming; feedback; matrix algebra; multivariable control systems; nonlinear control systems; nonlinear programming; robust control; stability criteria; state-space methods; LTI systems; Zames-Falb multiplier; convex optimization; generalized structured singular value; largest stability bound; linear matrix inequalities; multivariable linear time-invariant system; negative feedback interconnection; robustness analysis; stability analysis; state-space parameters; structured time-invariant incrementally sector bounded nonlinearity; symmetric incrementally sector bounded structured nonlinearities; upper bound; Linear matrix inequalities; Negative feedback; Optimization methods; Packaging; Robust stability; Robustness; Stability analysis; Stability criteria; State-space methods; Uncertainty;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.533869