Title :
Predictive control for constrained systems with polytopic uncertainty
Author :
Chisci, L. ; Falugi, P. ; Zappa, G.
Author_Institution :
Dipt. di Sistemi e Informatica, Firenze Univ., Italy
Abstract :
The paper addresses predictive control for polytopic discrete-time systems subject to input and state constraints. The objective is to optimize nominal performance while guaranteeing robust stability and constraint satisfaction. The latter goal is achieved by exploiting robust invariant sets under linear and nonlinear control laws. The feasibility domain is evaluated for open-loop and closed-loop input optimization
Keywords :
asymptotic stability; closed loop systems; discrete time systems; predictive control; robust control; state feedback; closed-loop input optimization; constrained systems; constraint satisfaction; input constraints; nominal performance; open-loop input optimization; polytopic discrete-time systems; polytopic uncertainty; predictive control; robust invariant sets; robust stability; state constraints; Constraint optimization; Linear feedback control systems; Performance analysis; Prediction algorithms; Predictive control; Predictive models; Robust control; Robust stability; State feedback; Uncertainty;
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-6495-3
DOI :
10.1109/ACC.2001.946389