| 引用本文: | 魏永松,李少远.带有网络拓扑优化的分布式预测控制方法[J].控制理论与应用,2015,32(9):1269~1276.[点击复制] |
| WEI Yongsong,LI Shaoyuan.Distributed model predictive control with optimal network topology for large scale systems[J].Control Theory and Technology,2015,32(9):1269~1276.[点击复制] |
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| 带有网络拓扑优化的分布式预测控制方法 |
| Distributed model predictive control with optimal network topology for large scale systems |
| 摘要点击 2441 全文点击 1055 投稿时间：2015-03-26 修订日期：2015-05-27 |
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| DOI编号 10.7641/CTA.2015.50237 |
| 2015,32(9):1269-1276 |
| 中文关键词 分布式系统 预测控制 拓扑优化 |
| 英文关键词 distributed system model predictive control topology optimization |
| 基金项目 |
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| 中文摘要 |
| 通常在大系统中, 全局信息优化的系统, 其性能要高于局部信息优化系统. 全局信息优化的算法由于大系统的复杂程度往往不可行. 所以通常会用分布式算法来解决此类问题. 在分布式算法中, 为了获得更好的系统性能,
要尽可能多的采用更多的信息信息交换, 然而这样会带来信息网络的负担增大. 本文在预测控制性能指标中引入通信代价, 并提出了一种随着系统状态变化的通信网络拓扑切换方法. 文中给出了该算法在供水管网动态模型中的仿真结果, 表明本方法的可行性. |
| 英文摘要 |
| Generally, the performance of a large-scale system in global optimization is better than that in local op-
timization. To obtain a better performance, we need more information interchanges. However, in a distributed model
prediction algorithm, this will increase the workload for an information network, making global optimization inapplicable
in a large-scale system with complexity. To deal with this problem, we introduce the communication cost in the perfor-
mance index and develop a novel method for switching the communication-network topology according to variations in
system states. This method has been applied to the simulation experiment of a dynamical model of a water supply network
system, demonstrating the feasibility of the proposed algorithm. |
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