DocumentCode
337038
Title
Exponential stability of mixed constrained model predictive control
Author
Choi, Jinhoon ; Kwon, Wook Hyun
Author_Institution
Dept. of Chem. Eng., Sogang Univ., Seoul, South Korea
Volume
2
fYear
1998
fDate
16-18 Dec 1998
Firstpage
1390
Abstract
Under the stabilizability and the detectability assumptions on the linear plant, it is shown for both state and output feedback cases that the stable (marginal) linear plant subject to the input constraints is globally (semi-globally) and exponentially stabilized in the sense of Lyapunov by the mixed constrained model predictive control law. It is also demonstrated that, for the marginal and unstable plant cases, the domain of attraction is the set of all initial conditions for which the mixed constrained model predictive control law is defined throughout the trajectory
Keywords
Lyapunov methods; asymptotic stability; discrete time systems; linear systems; predictive control; state feedback; Lyapunov method; detectability; discrete time systems; exponential stability; linear systems; model predictive control; output feedback; state feedback; Infinite horizon; Linear systems; Optimal control; Output feedback; Predictive control; Predictive models; Stability; State feedback; Symmetric matrices; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location
Tampa, FL
ISSN
0191-2216
Print_ISBN
0-7803-4394-8
Type
conf
DOI
10.1109/CDC.1998.758480
Filename
758480
Link To Document