This paper presents a stabilizingmodelpredictivecontrol (MPC) algorithm based on the off-line computation of a sequence of 1-step controllable sets and a condition that enables flexible, non-monotone convergence to...
详细信息
ISBN:
(纸本)9783952426937
This paper presents a stabilizingmodelpredictivecontrol (MPC) algorithm based on the off-line computation of a sequence of 1-step controllable sets and a condition that enables flexible, non-monotone convergence towards a suitably chosen terminal set. Such an off-line computed sequence of sets leads to a large region where the MPC algorithm is feasible, regardless of the length of the prediction horizon, while the non-monotone convergence condition is used to improve performance. Both stability and recursive feasibility are guaranteed by construction. The benefits of such an approach are shown in illustrative examples.
暂无评论