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 feasibil- ity domain is evaluated for open-loop and closed-loop input optimization.
Predictive control for constrained systems with polytopic uncertainty / L. Chisci; P. Falugi; G. Zappa. - STAMPA. - (2001), pp. 3073-3078. (Intervento presentato al convegno American Control Conference 2001 tenutosi a Arlington, USA) [10.1109/ACC.2001.946389].
Predictive control for constrained systems with polytopic uncertainty
CHISCI, LUIGI;ZAPPA, GIOVANNI
2001
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 feasibil- ity domain is evaluated for open-loop and closed-loop input optimization.
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