On Feasibility, Stability and Performance in Distributed Model Predictive Control

被引:70
作者
Giselsson, Pontus [1 ]
Rantzer, Anders [1 ]
机构
[1] Lund Univ, Dept Automat Control, S-22100 Lund, Sweden
基金
瑞典研究理事会;
关键词
Distributed model predictive control; feasibility; performance guarantee; stability; DECOMPOSITION;
D O I
10.1109/TAC.2013.2285779
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In distributed model predictive control (DMPC), where a centralized optimization problemis solved in distributed fashion using dual decomposition, it is important to keep the number of iterations in the solution algorithm small. In this technical note, we present a stopping condition to such distributed solution algorithms that is based on a novel adaptive constraint tightening approach. The stopping condition guarantees feasibility of the optimization problem and stability and a prespecified performance of the closed-loop system.
引用
收藏
页码:1031 / 1036
页数:6
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