Information Fusion Based Optimal Decentralized Control for Stochastic Largescale System

被引：1

作者：

Wang Zhisheng ^{[1
]}

Zhen Ziyang ^{[1
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Peoples R China

来源：

Proceedings of the 27th Chinese Control Conference, Vol 2 | 2008年

关键词：

Largescale system; Decentralized control; Information fusion; Optimal estimation;

D O I：

10.1109/CHICC.2008.4605038

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 allusion to the control problem of the complex stochastic largescale system, a novel decentralized control method based on information fusion estimation is proposed in this paper. Based on the information fusion optimal estimation theorem, by fusing the one-step predictive information of the largescale system state and the sub-system measurement information, the optimal estimation of the largescale system state is derived. Moreover, by fusing the state estimation information, the co-state estimation information and the soft constrained control energy information, the optimal estimation of the control station output is obtained.

引用

页码：694 / 698

页数：5

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