控制理论与应用2017，Vol.34Issue(5)：575-585,11.DOI:10.7641/CTA.2017.16029
通讯信息约束下具有全局稳定性的分布式系统预测控制
Global stabilizing distributed model predictive control systems with limited communication
摘要
Abstract
A novel stabilized distributed model predictive control (DMPC) with input constraints and global cost optimization coordination strategy is proposed for spatially distributed coupling systems which are presented by states interacted models. The distributed controllers make decisions locally and merely communicate once a control period with each others. Cooperation is promoted by consideration of the system-wide objective by each local controller. Consistency constraints, which bound the estimation errors of the interaction sequences among subsystems, are designed to guarantee that, if an initially feasible solution can be found, subsequent feasibility of the algorithm is guaranteed at every update, and that the closed-loop system is asymptotically stable. The proposed control algorithm could reduce the communication and computation loads with improved performance of entire systems, and guarantee the recursive feasibility and the asympto-tically stability even when the controlled subsystems are strong coupled. Simulation results show that the performance of the proposed DMPC is very close to that of a centralized model predictive control (MPC).关键词
大规模系统/预测控制/分布式预测控制/约束控制Key words
large-scale systems/model predictive control/distributed model predictive control/constrained control分类
信息技术与安全科学引用本文复制引用
郑毅,李少远,魏永松..通讯信息约束下具有全局稳定性的分布式系统预测控制[J].控制理论与应用,2017,34(5):575-585,11.基金项目
Supported by National Natural Science Foundation of China (61233004, 61590924, 61673723). （61233004, 61590924, 61673723）
