In this paper the feasibility and stability of open-loop rain-max model predictive control （OL-MMMPC） for systems with additive bounded uncertainties are considered. It is found that the OL-MMMPC may be infeasible a...In this paper the feasibility and stability of open-loop rain-max model predictive control （OL-MMMPC） for systems with additive bounded uncertainties are considered. It is found that the OL-MMMPC may be infeasible and unstable if it is initially feasible. A sufficient condition for feasibility and stability of the OL- MMMPC is presented. Then an improved OL-MMMPC algorithm is proposed, which guarantees the robust stability of the closed-loop system once it is initially feasible. The effectiveness of this algorithm is illustrated by a simulation example.展开更多
文摘In this paper the feasibility and stability of open-loop rain-max model predictive control （OL-MMMPC） for systems with additive bounded uncertainties are considered. It is found that the OL-MMMPC may be infeasible and unstable if it is initially feasible. A sufficient condition for feasibility and stability of the OL- MMMPC is presented. Then an improved OL-MMMPC algorithm is proposed, which guarantees the robust stability of the closed-loop system once it is initially feasible. The effectiveness of this algorithm is illustrated by a simulation example.
