DocumentCode :
2475437
Title :
The stability analysis of systems with nonlinear feedback expressed by a quadratic program
Author :
Li, Guang ; Heath, William P. ; Lennox, Barry
Author_Institution :
Control Syst. Centre, Manchester Univ.
fYear :
2006
fDate :
13-15 Dec. 2006
Firstpage :
4247
Lastpage :
4252
Abstract :
We consider the stability of the feedback connection of a stable linear time invariant (LTI) plant with a static nonlinearity expressed by a certain class of quadratic program (QP). We establish quadratic constraints from the Karush-Kuhn-Tucker (KKT) conditions that may be used to construct a piecewise quadratic Lyapunov function via the S-procedure. The approach is based on existing results in the literature, but gives a more parsimonious linear matrix inequality (LMI) criterion. Our approach can be extended to model predictive control (MPC), and gives equivalent results to those in the literature but with a much lower dimension LMI criterion
Keywords :
Lyapunov methods; closed loop systems; feedback; linear matrix inequalities; linear systems; nonlinear control systems; predictive control; quadratic programming; stability; Karush-Kuhn-Tucker conditions; Lyapunov function; closed loop system; linear matrix inequality; linear time invariant plant; model predictive control; nonlinear feedback; quadratic program; stability analysis; Control systems; Linear feedback control systems; Linear matrix inequalities; Lyapunov method; Nonlinear control systems; Quadratic programming; Stability analysis; Stability criteria; Temperature control; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2006 45th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-0171-2
Type :
conf
DOI :
10.1109/CDC.2006.376768
Filename :
4177607
Link To Document :
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