Title :
Fast robust stabilization by saturating output feedback of uncertain linear systems with input constraints
Author_Institution :
Control Theor. & Robot. Group, Tech. Univ. Darmstadt, Darmstadt, Germany
Abstract :
This paper proposes an LMI-based design algorithm for saturating output feedback controllers that are robust with respect to parametric uncertainties in the system model. The algorithm is based on the determination of a feasible solution by solving a conservative relaxation of the problem. This feasible solution is then optimized using a procedure known as path following, which sequentially optimizes a local linearization of the problem. The algorithm relies on available numerical convex optimization techniques and is demonstrated by a numerical example.
Keywords :
convex programming; feedback; linear matrix inequalities; linear systems; stability; uncertain systems; LMI based design algorithm; conservative relaxation; fast robust stabilization; input constraints; local linearization; numerical convex optimization; output feedback controller; parametric uncertainties; path following; uncertain linear systems; Algorithm design and analysis; Lenses; Linear feedback control systems; Linear systems; Optical design; Output feedback; Robust control; Robustness; Stability; Uncertainty;
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2009.5400601