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
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;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.758480