Distributed model predictive control
Distributed model predictive control
复制标题
DOI：
10.1109/37.980246
复制
发表时间：
2002-02-01
影响因子：
5.7
通讯作者：
Talukdar, S
中科院分区：
文献类型：
--
作者：
Camponogara, E;Jia, D;Talukdar, S
本文介绍了分布式模型预测控制（MPC）的结果，重点是i）使用迭代信息交换的优化计算的协调和ii）当信息仅在每次迭代后交换时闭环系统的稳定性。目前的研究主要集中在分布式MPC的大规模问题分解的一般方法和方法，以保证稳定性时，多个代理控制系统的突然变化。
The article presents results for distributed model predictive control (MPC), focusing on i) the coordination of the optimization computations using iterative exchange of information and ii) the stability of the closed-loop system when information is exchanged only after each iteration. Current research is focusing on general methods for decomposing large-scale problems for distributed MPC and methods for guaranteeing stability when multiple agents are controlling systems subject to abrupt changes.