面向大规模网络化系统的分布式预测控制
Distributed predictive control for large-scale networked systems

本文将近年来关于网络化分布式预测控制(distributed model predictive contro, DMPC)设计的结果进行了总结 概述. DMPC不仅仅继承了预测控制的优点而且还有分布式控制框架的特点. 首先, 介绍了分布式控制的系统结构设计; 然后, 依据预测控制中的性能指标, 从3个方面对DMPC进行了介绍: 基于局部性能指标的DMPC, 基于邻域指标的 DMPC和基于全局指标的DMPC. 最后, 选取3个典型例子来说明一些DMPC的有效性.
In this paper, we provide a review of recent results in the design of networked distributed model predictive control (DMPC). DMPC not only inherits advantages of model predictive control but also has characteristics of distributed control framework. Firstly, we introduce the system structure design of distributed control. Then, according to the performance index used in the MPC algorithm, we review the work on DMPC in three aspects: DMPC based on local, neighborhood and global performance index. Finally, some proposed DMPC algorithms are illustrated through three examples.